Publication 1970
1.
Loonkar, Y., & Robinson, J. D. (1970). Minimization of capital investment for batch processes.
Calculation of optimum equipment sizes. Industrial Engineering and Process Design Development,
9, 625.
Publication 1971
Publication 1972
Publication 1973
Publication 1974
Publication 1975
2.
Sparrow, R. E., Forder, G. J., & Rippin, D. W. T. (1975). The choice of equipment sizes for
multiproduct batch plants. Heuristics vs. branch and bound. Industrial Engineering and Chemical
Process Design Development, 14, 197.
Publication 1976
3.
Eilon, S. and Chowdhury, I.G. (1976). Due dates in job shop scheduling. International Journal of
Production Research, 14(2), 223{237.
4.
Johns, W.R., G. Marketos and D.W.T. Rippin: The Optimal Design of Chemical Plant to Meet
Time-varying Demands in the Presence of Technical and Commercial Uncertainty.Design
Congress 76, F1, (1976).
Publication 1977
5.
Lenstra, J.K., Kan, A.H.G. Rinnooy and Brucker, P. (1977). Complexity of machine scheduling
problems. Annals of Discrete Mathematics, 1, 343{362.
6.
Panwalkar, S.S., and W. Iskander, “A survey of scheduling rules,” Operations Research, Volume
25, pages 45-61, 1977.
7.
J.V. Jucker and R.C Carlson. The simple plant-location problem under uncertainty. Operations
Res, 24:1045–1055, 1977.
Publication 1978
8.
Grossmann, I.E. and R.W.H. Sargent, "Optimum Design of Chemical Plants with Uncertain
Parameters," AIChE J. 24, 1021 (1978).
Publication 1979
9.
Hayes, R.H. and Wheelwright, S.C. (1979). Link manufacturing process and product life cycles.
Harvard Business Review, 57(1), 133{140
10. Mauderli, A. and Rippin, D.W.T. (1979). Production planning and scheduling for multipurpose
batch chemical plants. Computers and Chemical Engineering, 3(1-4), 199{206.
11. Hitomi, K. Manufacturing Systems Engineering. London: Taylor & Francis Ltd., 1979.
12. Grossmann, I.E. and R.W.H. Sargent, "Optimum Design of Multipurpose Chemical Plants," Ind.
Eng. Chem. Process Des. Development 18, 343 (1979).
13. Malik, R.K. and R.R. Hughes: Optimal Design of Flexible Chemical Processes. Comp.Chem. Eng.
3, 473 (1979).47
14. Graham, R.L., E.L. Lawler, J.K. Lenstra, A.H.G. Rinnooy Kan, “Optimization and approximation in
deterministic machine scheduling: a survey,” Annals of Discrete Mathematics, Volume 5, pages 287326, 1979.
15. Baker, K., and Peterson, D. W., 1979. An analytical framework for evaluating rolling schedules.
Management Science, 25, 4, 342-351.
16. Farn, C.K., and A.P. Muhlemann, “The dynamic aspects of a production scheduling problem,”
International Journal of Production Research, Volume 17, pages 15-21, 1979.
Publication 1980
17. Voudouris, T.V. and Grossmann, I.E. (1993). Optimal synthesis of multiproduct batch plants with
cyclic scheduling and inventory considerations. Industrial and Engineering Chemistry Research,
32, 1962{1980.
18. Grossmann, I.E. and J. Santibanez, "Applications of Mixed Integer LinearProgramming in Process
Synthesis," Computers and Chemical Engineering 4, 205(1980).
Publication 1981
19. B. Ivanov, N. Bancheva, Algorithm for Setting Arbitrarily Structured Chemical Industrial
Production in a Universal Chemical Industrial System, Proceedings of the International AMSE
Conference "MODELLING & SIMULATION", July 1-3, 1981, Paris-sud, France, volume 4, pp. 5962, Editor AMSE. (English).
20. Green, G.I., and L.B. Appel, “An empirical analysis of job shop dispatch rule selection,” Journal of
Operations Management, Volume 1, pages 197-203, 1981.
21. M.A.H. Dempster, M.L. Fisher, L. Jansen, B.J. Lageweg, J.K. Lenstra, and A.H.G. Rinnooy Kan.
Analytical evaluation of hierarchical planning systems. Operations Research, 29:707–716, 1981.
Publication 1982
22. Б.Б.Иванов, Метод за определяне на вариантите на разполагане на химико-технологично
производство с линейна структура в универсална химико-технологична система
Bulgarian Chemical Communications, v 15, No 3, pp. 274-283, 1982. (Bulgarian)
23. Б.Б.Иванов, Специализирана система за управление на данни при анализ и оптимизация
на многоасортиментни химико-технологични системи Bulgarian Chemical
Communications, v 15, No 2, pp. 163-172, 1982. (Bulgarian)
24. Reklaitis, G.V., 1982. Review of Scheduling of Process Operations. AIChESymposium 78, 119133.31
25. Muhlemann, A. P., Lockett, A. G., and Farn, C.-K., 1982. Job shop scheduling heuristics and
frequency of scheduling. International Journal of Production Research, 20, 2, 227-241.
26. Grossmann, I.E. and K.P. Halemane, "A Decomposition Strategy for Designing Flexible Chemical
Plants," AIChE J. 28, 686 (1982).
27. Grossmann, I.E., "Uncertainty and Flexibility in Chemical Process Design," CIT Engineering News
2, 13 (1982).
28. M.A.H. Dempster. A stochastic approach to hierarchical planning and scheduling. In M.A.H.
Dempster, J.K. Lenstra, and A.H.G. Rinnooy Kan, editors, Deterministic and Stochastic Scheduling,
pages 271–296. Reidel, Dordrecht, 1982.
29. Suhami, I., & Mah, R. S. H. (1982). Optimal design of multi-purpose batch plants. Industrial
Engineering and Chemical Process Design Development, 21, 94.
30. Takamatsu, T., Hashimoto, I., & Hasebe, S. (1982). Optimal design and operation of a batch process
with intermediate storage tanks. Industrial Engineering and Chemical Process Design Development,
21, 431. Vose, D. (1996). Quantitative risk analysis: A guide to Monte-Carlo simulation modeling.
Hoboken: Wiley.
Publication 1983
31. Хр. Бояджиев, Б. Иванов, Н. Банчева, Програмна Система за Оптимизация на
Многоасортиментни Химико-Технологоични Системи, Химия и ндустрия, т. 55, No.6, стр.
268-271, 1983 (Bulgarian).
32. Halemane K. P. and I. E. Grossmann, Optimal Process Design under Uncertainty. AIChEJ. 29, 425
(1983)45
33. Chvatal, Linear Programming. Freeman (1983).Clay, R. L. and I. E. Grossmann, “A Disaggregation
algorithm for the optimization of stochastic planning models,” Comput.Chem. Eng., 21, 751 (1997).
34. Grossmann, I.E., K.P. Halemane and R.E. Swaney, "Optimization Strategies for Flexible Chemical
Processes," Computers and Chemical Engineering 7, 439 (1983).
35. Halemane, K.P. and I.E. Grossmann, "Optimal Process Design under Uncertainty,"AIChE J. 29(3),
425 (1983).
36. Avidan, A.I. and I.E. Grossmann, "FLEXPACK - A Computer Package for Optimal Multiperiod
Design," Proceedings of the 3rd International Congress on Computers and Chemical Engineering
(Paris), Vol. II, C-158 (1983).
37. Papoulias, S.A. and I.E. Grossmann, "A Structural Optimization Approach in Process Synthesis. Part
I: Utility Systems," Computers and Chemical Engineering7, 695 (1983).2
38. Papoulias, S.A. and I.E. Grossmann, "A Structural Optimization Approach in Process Synthesis. Part
II: Heat Recovery Networks," Computers and Chemical Engineering 7, 707 (1983).
39. Papoulias, S.A. and I.E. Grossmann, "A Structural Optimization Approach in Process Synthesis. Part
III: Total Processing Systems," Computers and Chemical Engineering 7, 723 (1983).
40. Papoulias, S.A. and I.E. Grossmann, "Optimal Synthesis of Flexible Utility Systems," Proceedings
of the 18th IECEC Conference, 2066-2071, Orlando (1983).
41. Reklaitis, G.V. and I.E. Grossmann (Eds), "The Status of Large-Scale Optimization," Computers
and Chemical Engineering 7(5) (1983).
42. M.A.H. Dempster, M.L. Fisher, L. Jansen, B.J. Lageweg, J.K. Lenstra, and A.H.G. Rinnooy Kan.
Analysis of heuristics for stochastic programming: results for hierarchical scheduling problems.
Mathematics of Operations Research, 8:525–537, 1983.
43. Rippin, D. W. T. (1983). Design and operation of multi product and multi-purpose batch chemical
plants: An analysis of problem structure. Computers and Chemical Engineering, 7, 463. 478 L.
Cavin et al. / Computers and Chemical Engineering 28 (2004) 459–478
44. J. A. Bloom. Solving an electricity generation capacity expansion planning problem by generalized
Benders’ decomposition. Operations Research, 31:84–100, 1983.
Publication 1984
45. Н. Банчева, Б. Иванов, Хр. Бояджиев, Моделиране и Оптимизация на Многоасортиментни
Химико-технологични Системи в Малотонажната Химия, доклад депозиран в пълен текст
в ЦНТБ под No Нд 2874/1984, (Bulgarian).
46. Ivanov B., Chr. Boyadjiev, Optimal scheduling in multipurpose chemical industrial systems,
Hungarian Journal of Industrial Chemistry, 12, 451-460, 1984. (English)
47. B. Ivanov, Boyadjiev Chr, Optimal Scheduling in Multi-purpose Chemical Industrial Systems,
Hungarian Journal of Industrial Chemistry, Volume 12, pp. 451-460, 1984 (English)
48. Joglekar, G.S. and G.V. Reklaitis, “A simulator for batch and semi-continuous processes, Computers
& Chemical Engineering, 8, 315-327 (1984).
49. Wight, O., 1984. Manufacturing Resource Planning: MRP II. Oliver Wight Limited Publications.
ISBN 952-12-0895-3 Painotalo Gillot Oy _Abo 2001
50. Grossmann, I.E. and M. Morari, "Operability, Resiliency and Flexibility - ProcessDesign Objectives
for a Changing World," Proceedings of 2nd InternationalConference on Foundations of ComputerAided Process Design (Eds. A.W.Westerberg and H.H. Chien), 931 (1984).
51. J.B.G. Frenk, A.H.G. Rinnooy Kan, and L. Stougie. A hierarchical scheduling problem with a wellsolvable second stage. Annals of Operations Research, 1:43–58, 1984.
52. J.K. Lenstra, A.H.G. Rinnooy Kan, and L. Stougie. A framework for the probabilistic analysis of
hierarchical planning systems. Annals of Operations Research, 1:23–42, 1984.
53. A. B. Borison, P. A. Morris, and S. S. Oren. A state-of-the-world decomposition approach to
dynamics and uncertainty in electric utility generation expansion planning. Operations Research,
32:1052– 1068, 1984.
Publication 1985
54. Chr. Boyadjiev, B.Ivanov, J.Lazarov, B.Vulchanova, An adaptive Program System for Non-linear
Optimization of Chemical Industrial Systems, AMSE Review, AMSE Press, Volume 2, No 3,
1985, p. 51-64 (English)
55. Parakrama, R., “Improving batch chemical processes,” The Chemical Engineer, 24-25
(September1985).
56. Swaney, R. E. and I. E. Grossmann, An Index for Operational Flexibility in Chemical Process
Design. Part I - Formulation and Theory, AIChE J. 31, 621 (1985a)
57. Swaney, R. E. and I. E. Grossmann, An Index for Operational Flexibility in ChemicalProcess
Design. Part II - Computational Algorithms, AIChE J. 31, 631 (1985b)
58. Yamamoto, M., and Nof, S. Y., 1985. Scheduling/rescheduling in the manufacturing operating
system environment. International Journal of Production Research, 23, 4, 705-722.
59. Grossmann, I.E. and C. Floudas, "A New Approach for Evaluating Flexibility in Chemical Process
Design," I. Chem. E. Symposium Series No. 92, 619 (1985).
60. Biegler, L.T. and I.E. Grossmann, "Strategies in the Optimization of Chemical Processes,"
Reviews in Chemical Engineering 3, 1 (1985).
61. Grossmann, I.E., "Mixed-integer Programming Approach for the Synthesis of Integrated Process
Flow sheets," Computers and Chemical Engineering 9, 463(1985).
62. Westerberg, A.W. and I.E. Grossmann, "Process Synthesis Techniques in the Process Industries
and Their Impact on Energy Use," EPRI Report, December 1, 1985.
63. KELLE, PETER. 1985. Safety Stock Planning In a Multi-stage Production-Inventory System.
Engineering Costs and Production Economics 9:231-37.
64. NAGASAWA, HIROYUKI, NORIYUKI NISHIYAMA, and KATSUNDO HITOMI. 1985.
Decision Analysis for Determining the Optimum Planning Horizon in Aggregate Production
Planning. Part 2: Di®erence Between Planning Horizons in Weekly and in Monthly Schedulings.
International Journal of Production Research 23(2):423-36.
Publication 1986
65. Ch. B. Boyadjiev, B. B. Ivanov, N. G. Bancheva, One Approach for Determining Optimal
Scheduling in a Multipurpose Chemical Industrial System, Hungarian .Journal of Industrial
Chemistry, volume 14, pp. 393-401, 1986 (English).
66. Egli, U.M., D. W. T. Rippin, 1986. Short-term scheduling for multiproduct batchchemical plants.
Computers & Chemical Engineering 10 (4), 303-325.
67. Rich, S.H., G.J. Prokopakis, 1986. Scheduling and sequencing of batch operations in
amultipurpose plant. Industrial & Engineering Chemistry Process Design andDevelopment 25,
979-987.
68. Floudas, C.A. and I.E. Grossmann, "Synthesis of Flexible Heat Exchanger Networks for
Multiperiod Operation," Computers and Chemical Engineering 10,153 (1986).
69. Vaselenak, J.A., I.E. Grossmann and A.W. Westerberg, "Heat Integration in Batch Processing,"
I.E.C. Process Design and Dev. 25, 357 (1986).
70. Biegler, L.T., I.E. Grossmann, G.L. Thompson and A.W. Westerberg, "Strategies for Optimal
Process Redesign," Proceedings 4th Symposium on Energy Eng. Sci.,Argonne, IL, p. 102 (1986).
71. Floudas, C.A. and I.E. Grossmann, "Automatic Synthesis of Flexible Heat Exchanger Networks
for Multiperiod Operation," ASME Advanced Energy SystemsAES-Vol. 2-1, 75 (1986).
72. TOCZYLOWSKI, E., K. NOWOSAD, H. JAGDEV, and K. S. HINDI. 1986. Aggregate Lot-size
Scheduling for a Class of Two-stage Batch Manufacturing Systems. Large Scale Systems
11(2):165-75.
73. G.R. Bitran, E.A. Haas, and H. Matsuo. Production planning of style goods with high setup costs
and forecast revisions. Oper. Res, 34:226–236, 1986.
Publication 1987
74. Carlier, J. (1987). Scheduling jobs with release dates and tails on identical machines to minimize
the makespan. European Journal of Operational Research, 29, 298{306.
75. Ford, F.N., Bradbard, D.A., Ledbetter, W.N. and Cox, J.F. (1987). Use of operations research in
production management. Production and Inventory Management, 3rd Qtr., 59{62.
76. Grossmann, I.E. and C.A. Floudas (1987), Active Constraint Strategy for Flexibility Analysis in
Chemical Processes, Computers and Chemical Engineering, Vol. 11, No. 6,pp. 675-693.
77. Ito,K.; Yokoyama, R.; Horii,S.; Matsumoto, Y.; Adagi, S. An optimal operational planning model
for gas turbine cogeneration plants, In Tokyo International Gas Turbine Congress 1987.
78. Ku, H., D. Rajagopalan, and I. A. Karimi, “Scheduling in Batch Processes,” Chem. Eng. Prog.,
pages 35–45 (1987).
79. Douglas J. M. Conceptual Design of Chemical Processes. McGraw-Hill: NewYork, 1987.
80. Vaselenak, J.A., I.E. Grossmann and A.W. Westerberg, "An Embedding Formulation for the
Optimal Scheduling and Design of Multipurpose Batch Plants," Ind. Eng. Chem. Res. 26, 139
(1987).
81. Vaselenak, J.A., I.E. Grossmann and A.W. Westerberg, "Optimal Retrofit Design of
Multiproduct Batch Plants," Ind. Eng. Chem. Res. 26, 718 (1987).
82. Yeh, N. C., & Reklaitis, G. V. (1987). Synthesis and sizing of batch/ semicontinuous processes:
Single product plants. Computers and Chemical Engineering, 11, 639.
83. E. M. Modiano. Derived demand and capacity planning under uncertainty. Operations
Research, 35(2):185–197, 1987.
Publication 1988
84. B. Ivanov, Vaklieva-Bancheva N., Boyadjiev Chr., An Automatic Optimal Design of
Multiproduct Chemical Plants, Hungarian Journal of Industrial Chemistry, Volume 16, pp.
355-368, 1988 (English).
85. B. Ivanov, Vaklieva-Bancheva N., Boyadjiev Chr., One Approach for an Automatic Optimal
Design of Multiproduct Chemical Plants, Chemical Engineering. Problems of Momentum,
Heat and Mass Transfer, Seria Konferencie, volume 52, No 11, pp. 235-240, Wroclaw, Poland,
1988, Redaktor naukowy Maksymilian Pajak (English).
86. Ku, H., I.A. Karimi, 1988. Scheduling in serial multiproduct batch processes with finite
interstage storage: A Mixed Integer linear program formulation. Industrial &Engineering
Chemistry Research 27, 1840-1848.
87. Vollmann, T. E., Berry, W. L., Whybark, D. C., 1988. Manufacturing Planning and Control
Systems. Richard D. Irwin, Inc.
88. Tabe, T., and Salvendy, G., 1988. Toward a hybrid intelligent system for scheduling and
rescheduling of FMS. International Journal of Computer Integrated Manufacturing, 1, 3, 154164.
89. Olsbu, A., P.A. Loeken and I.E. Grossmann, "A Mixed-Integer Programming Model for the
Design and Planning of Power Systems in Oil Production Platforms, Engineering Costs and
Production, 14, 281 (1988).
90. Pistikopoulos, E.N. and I.E. Grossmann, "Optimal Retrofit Design for Improving Process
Flexibility-Linear Systems," Computers and Chemical Engineering 12, 719(1988).
91. KONDILI E. C., PANTELIDES C. C. and SARGENT R. W. H.: A General Algorithm for
Scheduling of Batch Operations, Proc. 3rd Intl. Symp. On Process Systems Engng., Sydney,
Australia, 62-75, 1988
Publication 1989
92. Cheng, T.C.E. and Gupta, M. C. (1989). Survey of scheduling research involving due date
determination decisions. European Journal of Operational Research, 38,156{166.
93. Sahinidis, N. V., I. E. Grossmann, R. E. Fornari, andM. Chathrathi, “Optimization Model for
Long Range Planning in the Chemical Industry, Comput. Chem. Eng., 13(9), 1049–1063 (1989).
94. Perkins, J. R., and Kumar, P. R., 1989. Stable, distributed, real-time scheduling of flexible
manufacturing/assembly/disassembly systems. IEEE Transactions on Automatic Control, 34, 2,
139-148.
95. Birewar, D. and I.E. Grossmann, "Incorporating Scheduling in the Optimal Design of
Multiproduct Batch Plants," Computers and Chemical Engineering 13, 141(1989).
96. Birewar, D. and I.E. Grossmann, "Efficient Optimization Algorithms for Zero-Wait Scheduling
of Multiproduct Batch Plants," Ind. Eng. Chem. Res. 28, 1333 (1989).
97. G. B. Dantzig. Decomposition techniques for large-scale electric power systems planning under
uncertainty. In R. Sharda, B. L. Golden, E. Wasil, O. Balci, and W. Steward, editors, Impacts of
Recent Computer Advances on Operations Research, pages 3–20. North-Holland, 1989.
Publication 1990
98. B. Ivanov, Vaklieva-Bancheva N., Boyadjiev Chr., Optimal Load of Energy Supply Systems
(ESS) During the Performance of Multipurpose Chemical Plants , Hungarian Journal of
Industrial Chemistry, Volume 18, No.1, pp 55-66, 1990, (English).
99. Das, H., P. Cummings, M. LeVan, "Scheduling of Serial Multiproduct Batch Processes via
Simulated Annealing," Computers and Chemical Engineering, Vol. 14, No. 12, pp.1351-1362
1990.
100.Shapiro, J.F. (1990), Mathematical Programming Models and Methods for Production
Planning and Scheduling, to appear in Handbook of Operations Research & Management
Science, Vol. 4, Logistics of Production and Inventory, forthcoming from North-Holland.
101.T. L. Magnanti and R. Vachani. A strong cutting plane for production scheduling with change
overcosts. Oper. Res., 38(3):456{473, 1990.
102.Birewar, D. B. and I. E. Grossmann, “Simultaneous Production Planning and Scheduling of
Multiproduct Batch Plants,” Ind.Eng. Chem. Res., 29, 570 (1990).
103.Huang, Y.-G., Kanal, L. N., and Tripathi, S. K., 1990. Reactive scheduling for a single
machine: Problem definition, analysis, and heuristic solution. International Journal of
Computer Integrated Manufacturing, 3, 1, 6-12.
104.Dutta, A., 1990. Reacting to scheduling exceptions in FMS environments. IIE Transactions,
22, 4, 300-314.
105.Matsuo, Hirofumi, “Cyclic scheduling problems in the two-machine permutation flow shop:
complexity, worst-case, and average-case analysis,” Naval Research Logistics, Volume 37,
pages 679-694, 1990.
106.Smith, Stephen F., Peng Si Ow, Jean-Yves Potvin, Nicola Muscettola, and Dirk C. Matthys,
“An integrated framework for generating and revising factory schedules,” Journal of the
Operational Research Society, Volume 41, Number 6, pages 539-552, 1990.
107.Birewar, D. and I.E. Grossmann, "Simultaneous Planning and Scheduling of Multiproduct
Batch Plants," Ind. Eng. Chem. Res. 29, 570 (1990).
108.Birewar, D. and I.E. Grossmann, "Simultaneous Synthesis, Sizing and Scheduling of
Multiproduct Batch Plants, Ind. Eng. Chem. Res. 29, 2242 (1990).
109.Morari, M. and I.E. Grossmann (Eds.), "Retrofit of a Heat Exchanger Network and Design of
a Multiproduct Batch Plant," CACHE Process Design Case Studies, Volume 5 (1990).
110.BIREWAR, DEEPAK B., and IGNACIO E. GROSSMANN. 1990. Simultaneous Production
Planning and Scheduling in Multiproduct Batch Plants. Industrial & Engineering Chemistry
Research 29(4):570-80.
111.FEIRING, BRUCE R., and TEP SASTRI. 1990. Improving Production Planning By Utilizing
Stochastic Programming. Computers and Industrial Engineering 19(1-4):53- 56.
112.Papageorgaki, S., & Reklaitis, G. V. (1990). Optimal design of multi-purpose batch plants. 1.
Problem formulation. Industrial Engineering and Chemical Research, 29, 2054.
Publication 1991
113. Ku, H. and Karimi, I. (1991). An evaluation of simulated annealing for batch process
scheduling. Industrial and Engineering Chemistry Research, 30, 163{169.
114. Schneewei¼, Ch. (1999). Hierarchies in distributed decision making. Springer, Berlin. Shah,
N. and Pantelides, C.C. (1991). Optimal long-term campaign planning and design of batch
operations. Industrial and Engineering Chemistry Research, 30, 2308{2321.
115. Wellons, M.C. and Reklaitis, G.V. (1991). Scheduling of multipurpose batch chemical plants.
2. Multiple product campaign formation and production planning. Industrial and Engineering
Chemistry Research, 30, 688{705.
116. Grossmann, I.E. and D.A. Straub: Recent Developments in the Evaluation and Optimization
of Flexible Chemical Processes. Proceedings of COPE-91 (eds. Puigjaner,L. and A. Espuna),
Barcelona, Spain,49-59 (1991)
117. N. V. Sahinidis and I. E. Grossman. Reformulation of multiperiod MILP models for planning
and scheduling of chemical processes. Comp. Chem. Eng., 15(4):255{272, 1991.
118. Reklaitis, G. V., Perspectives on scheduling and planning of processoperations, In Presented
at the Fourth international symposium on process systems engineering, Montebello,
Canada(1991).
119. Shah, N. and C. C. Pantelides, “Optimal Long-Term Campaign Planning and Design of Batch
Operations,” Ind. Eng. Chem.Res., 30, 2308–2321 (1991).
120. Ku, H., I.A. Karimi, 1991. An Evaluation of Simulated Annealing for Batch Process
Scheduling. Industrial & Engineering Chemistry Research 30, 163-169.
121. Tsirukis, A., G.V. Reklaitis, 1991. A comprehensive framework for the scheduling of
resource constrained multipurpose batch plants. Proceedings of the 4th International
Symposium on Process Systems Engineering, Montebello, Canada, Paper III 20, 1-15.
122. Bean, James C., John R. Birge, John Mittenthal, and Charles E. Noon, “Matchup scheduling
with multiple resources, release dates, and disruptions,” Operations Research, Volume 39,
Number 3, pages 470-483, 1991.
123. Nof, Shimon Y., and F. Hank Grant, “Adaptive/predictive scheduling: review and a general
framework,” Production Planning & Control, Volume 2, Number 4, pages 298-312, 1991.
124. Sahinidis, N.V. and I.E. Grossmann, "MINLP Model for Cyclic Multiproduct Scheduling on
Continuous Parallel Lines," Computers and Chemical Engineering 15, 85 (1991).
125. Sahinidis, N.V. and I.E. Grossmann, "Multiperiod Investment Decision Model for
Multiproduct Processing Networks," Ind. Eng. Chem. Research 29, 1165 (1991).
Publication 1992
126. Н. Ваклиева-Банчева, Хр. Бояджиев, Б. Иванов, Многоасортиментни Химически
Производства. I. Оптимално Оперативно Управление, Химия и индустрия, т.. 63, Nо
1, стр. 16-21, 1992., (Обзор), (Bulgarian).
127. Н. Ваклиева-Банчева, Б. Иванов, Хр. Бояджиев, Многоасортиментни Химически
Производства. 2. Оптимално Проектиране на МХТС, Химия и индустрия, т. 63, Nо
4-5, стр. 19-24, 1992,, (Обзор), (Bulgarian).
128. K. L. Peneva, B. B. Ivanov, N. G. Vaklieva-Bancheva, A Simplified Method for
Determination of the Heat Transfer Area in Case of Heat Integration of Two Batch
Tanks, Bulgarian Chemical Communications, Volume. 25, No.1, 1992, pp. 73-84 (English).
129. Н. Ваклиева-Банчева, П. Константинов, Б. Иванов, Метод за Построяване на
Максимално Независими Множества от Върхове на Граф при Задачи за
Оперативно Управление на Многоцелеви Химико-технологични Системи,
"Техническа мисъл", т. 29, No3, стр. 12-20, 1992 (Bulgarian).
130. B. Ivanov, K. Peneva, N. Bancheva, Heat Integration in Reactor Systems' at Fixed Time
Interval, Proceedings. of Fourth Bulgarian-Hungarian Workshop, Chemical Engineering,
Varna'92, pp. 31-34 , 1992 (English).
131. B. Ivanov, K. Peneva, N. Bancheva, Heat Integration of Batch Vessels at Fixed Time
Interval. Part I: Schemes With Recicling Main Fluids, Hungarian Journal of Industrial
Chemistry, Volume 20, pp. 225-231, 1992, (English).
132. B. Ivanov, K. Peneva, N. Bancheva, Heat Integration of Batch Vessels at Fixed Time
Interval. Part II: Schemes with Intermediate Heating and Cooling Agents, Hungarian
Journal of Industrial Chemistry, Volume 20, pp. 233-239, 1992 (English).
133. N. Vaklieva-Bantcheva, B. Ivanov, A Method for Determination the Horizon Constraints
for Design Problem of Multipurpose Batch Chemical Plants, Proceedings. of Fourth
Bulgarian-Hungarian Workshop, Chemical Engineering, Varna'92, pp. 28-30, 1992,
(English).
134. N. Vaklieva-Bancheva, B. Ivanov A Method for Determination the Horizon constrains for
Design Problems of Multipurpose Batch Chemical Plants, Proceedings. of Fourth BulgarianHungarian Workshop, Chemical Engineering, Varna'92, pp. 28-30 , 1992 (English)
135. Ivanov B., Vaklieva-Bancheva N., K.Peneva Heat integration in a Batch Bioreactor System
Workshop on Bioprocess Simulation in Practice , april 14,1992, Graz, Austria (English)
136. Dooley, K.J. and Mahmoodi, F. (1992). Identi¯cation of robust scheduling
heuristics:application of Taguchi methods in simulation studies. Computers and
IndustrialEngineering, 22, 359{368.
137. IBM Systems Journal SC23-0519, 31(1) (1992).Ierapetritou, M. and C. A. Floudas, “E_ective
continuous-time formulation for short-term scheduling,” Ind. Eng. Chem. Res.,37, 4341–4359
(1998).
138. Reklaitis, G. V., Overview of scheduling and planning of batch process operations, In NATO
Advanced Study Institute—Batch Process Systems Engineering, Antalya, Turkey (1992).
139. Dhingra, J. S., Musser, K. L., and Blankenship, G. L., 1992. Real-time operations scheduling
for flexible manufacturing systems. Proceeding of the 1992 Winter Simulation Conference,
849-855.
140. Church, L. K., and Uzsoy, R., 1992. Analysis of periodic and event-driven rescheduling
policies in dynamic shops. International Journal of Computer Integrated Manufacturing, 5,
153-163.
141. Roundy, Robin, “Cyclic schedules for job shops with identical jobs,” Mathematics of
Operations Research, Volume 17, Number 4, pages 842-865, 1992.
142. Watatani, Y., and Fujii, S., 1992. A study on rescheduling policy in production system.
JAPAN/USA Symposium on Flexible Automation, Vol.2, ASME.
143. Chase, C., and Ramadge, P. J., 1992. On real-time scheduling policies for flexible
manufacturing systems. IEEE Transactions on Automatic Control, 37, 4, 491-496.
144. Hanisch, H. M, (1992), Coordination Control Modelling in Batch Production Systems by
Meansof Petri Nets, Comp. Chem. Engng, 16, 1, 1-10.A. LOZANO and O. CHIOTTI
145. Sahinidis, N.V. and I.E. Grossmann, "Reformulation of the Multiperiod MILP Model for
Capacity Expansion of Chemical Processes," Operations Research 40(Supp. 1), S127-S144
(1992).
146. Straub, D.A. and I.E. Grossmann, "Evaluation and Optimization of Stochastic Flexibility in
Multiproduct Batch Plants," Computers and Chemical Engineering 16, 69-87 (1992).
147. Varvarezos, D.K., I.E. Grossmann and L.T. Biegler, "An Outer Approximation Method for
Multiperiod Design Optimization, Ind. Eng. Chem. Research 311466-1477 (1992).
148. Voudouris, V.T. and I.E. Grossmann, "Mixed-Integer Linear Programming Models for the
Optimal Design of Batch Processes with Discrete Sizes," Ind. Eng. Chem. Research 31, 13151325 (1992).
Publication 1993
149. B. Ivanov, K. Peneva, N. Vaklieva-Bancheva, Synthesis of Cost Optimal Heat Integrated
Batch Systems, Hungarian Journal of Industrial Chemistry, Volume 21, pp. 7-14, 1993,
(English).
150. Boyan B. Ivanov, Natasha G. Vaklieva-Bancheva, Krasimira L. Peneva Synthesis of Batch
Systems with Heat Storage Tanks. Design and Retrofit Problems Bulgarian Chemical
Communications, v 26, No 1, pp. 122-133, 1993. (English).
151. N. Vaklieva-Bantcheva, B. Ivanov, A New Approach for Determination the Horizon
Constraints for Design Problem of Multipurpose Batch Chemical Plants, Computers &
Chemical Engineering, Volume 17, pp. S21-S26, 1993 (English).
152. N. Vaklieva-Bancheva, B. Ivanov, Determination of the Horison Constraints in
Multipurpose Chemical Plant Design, Hungarian Journal of Industrial Chemistry, Volume
21, pp. 87-92, 1993 (English).
153. B. Ivanov, K. Peneva, N. Bancheva Heat Integration in Batch Reactors Operating in
Different Time Intervals. Part I. A Hot-Cold Reactor Systems with Two Storage Tanks,
Hungarian Journal of Industrial Chemistry, Volume 21, pp. 201-207 1993 (English)
154. B. Ivanov, K. Peneva, N. Bancheva Heat Integration in Batch Reactors Operating in
Different Time Intervals. Part II. A Hot-Cold Reactor Systems with a Common Storage
Tank, Hungarian Journal of Industrial Chemistry, Volume 21, pp. 209-216, 1993 (English).
155. B. Ivanov, K. Peneva, N. Bancheva Heat Integration in Batch Reactors Operating in
Different Time Intervals. Part III. Synthesis and Reconstruction of Integrated Systems
with Heat Tanks, Hungarian Journal of Industrial Chemistry, Volume 21, pp. 217-223, 1993
(English).
156. Ivanov B., Vaklieva-Bancheva N., K.Peneva Syntheses of batch systems with heat storage
tanks. Design and retrofit problems [818], CHISA’93 full texts, 29 August-3
September,1993, Praha, Czech Republic. (English)
157. Kondili, E., Pantelides, C. C., & Sargent, R. W. H. (1993). A general algorithm for short-term
scheduling of batch operations. I. MILP formulation. Computers and Chemical Engineering,
17, 211–227.
158. N. Shah, C. C. Pantelides, and R.W. H. Sargent, “Ageneral algorithm for short-term
scheduling of batch operations-II. Computational issues,” Computers & Chemical
Engineering vol. 17, pp. 229–244, 1993.
159. Shah, N., C.C. Pantelides, R.W.H. Sargent, 1993. Optimal periodic scheduling of
multipurpose batch plants. Annals of Operations Research 42, 193-228.
160. Papageorgiu, L.G. and Pantelides, C.C. (1993). A hierarchical approach for campaign
planning of multipurpose batch plants. Computers and Chemical Engineer- ing, 17(Suppl.),
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161. Papageorgaki S.; Reklaitis, G. V. Retrofitting a General Multipurpose Batch Chemical Plant.
Industrial & Engineering Chemistry, 1993, 32(2), 345-362.
162. Smith, S.F.; Cheng, C-C. Slack-based Heuristics for Constrained Satisfaction Scheduling.
Proceedingsof 11th National Conference on Artificial Intelligence, 1993.
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Computer-Aided Process Operations, Crested Butte, CO, 207-230 (1993).
164. Halevi, G. The Magic Matrix: the smart scheduler, Computers in Industry, vol. 21, 1993, pp.
245-253.
165. Rippin, D. W. T., “atch process systems engineering: a retrospective and prospective review,”
Comput. Chem. Eng., 17, S1–S13(1993).
166. Herrmann, Jeffrey W., Chung-Yee Lee, and J. Snowdon, “A classification of static scheduling
problems,” in Complexity in Numerical Optimization, P.M. Pardalos, ed., World Scientific,
1993.
167. Li, R-K., Shyu, Y.-T., and Adiga, S., 1993. A heuristic rescheduling algorithm for computerbased production scheduling systems. International Journal of Production Research, 31,
1815-1826.
168. Kamoun, H., and C. Sriskandarajah, “The complexity of scheduling jobs in repetitive
manufacturing systems,” European Journal of Operational Research, Volume 70, Number 3,
pages 350-364, 1993.
169. Wu, S. D., Storer, R. H., and Chang, P. -C., 1993. One-machine rescheduling heuristics with
efficiency and stability as criteria. Computers & Operations Research, 20, 1-14.
170. Raman, R. and I.E. Grossmann, "Symbolic Integration of Logic in Mixed Integer Linear
Programming Techniques for Process Synthesis," Computers and Chemical Engineering, 17,
909 (1993).
171. Voudouris, V.T. and I.E. Grossmann, "Optimal Synthesis of Multiproduct Batch Plants with
Cyclic Scheduling and Inventory Considerations," I&EC Research, 32, 1962-1980 (1993).
172. K. K. Haugen. A stochastic dynamic programming model for scheduling of offshore
petroleum fields with resource uncertainty. European Journal of Operational Research,
88:88–100, 1993.
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173. B. Ivanov, N. Vaklieva-Bantcheva Optimal Reconstruction of Batch Chemical Plants with
Regard to Maximum Heat Recuperation Computers and Chemical Engineering, Volume
18, pp. S313-S317, 1994 (English).
174. Leon, V. Jorge, S. David Wu, and Robert H. Storer, “Robustness measures and robust
scheduling for job shops,” IIE Transactions, Volume 26, Number 5, pages 32-43, 1994.
175. Caseau, Y. and F. Laburthe, “ Improved CLP Scheduling with Task Intervals.” In Proceedings
of 11thInternational Conference on Logic Programming, 1994
176. Nuijten, W.P.M. Time and Resource Constrained Scheduling: A Constraint Satisfaction
Approach.PhD Thesis, Eindhoven University of Technology, 1994.
177. Ierapetritou, M.G. and E.N. Pistikopoulos (1994), Simultaneous Incorporation of Flexibility
and Economic Risk in Operational Planning Under Uncertainty, Computers and Chemical
Engineering, Vol. 18, No. 3, pp. 163-189.
178. Vassiliadis, V. S., R.W.H. Sargent, and C.C. Pantelides. Solution of a class of multistage
dynamic optimization problems. 2. problems with path constraints. Ind. Eng. Chem.
Res.,33:2123--2133, 1994.
179. Pantelides, C. C. (1994). Unified frameworks for the optimal process planning and
scheduling. In D. W. T. Rippin & J. Hale (Eds.), Proceedings of the Second Conference
FOCAPO (pp. 253–274).
180. S. Subrahmanyam, J. F. Pekny, and G. V. Reklaitis, “Design of batch chemical plants under
market uncertainty,”Industrial & Engineering Chemistry Research vol. 33, pp. 2688–2701,
1994.
181. Jorsten, K. and R. Leisten, “Scenario aggregation in singleresourceproduction planning
models with uncertain demand,”Production Planning and Control, 5(3), 271–281 (1994).
182. Pekny, J. F. and M. G. Zentner, Learning to solve process scheduling problems: the role of
rigorous knowledge acquisition frameworks,In Rippin, D. W. T., H. J. C., and J. F. Davis,
editors,Foundations of Computer Aided Process Operations, pages 275–309. CACHE, Austin,
TX (1994).
183. Ovacik, I. M., and Uzsoy, R., 1994. Rolling horizon algorithms for a single-machine dynamic
scheduling problem with sequence-dependent setup times. International Journal of
Production Research, 32, 6, 1243-1263.
184. Sun, D., and Lin, L., 1994. A dynamic job shop scheduling framework: A backward
approach. International Journal of Production Research, 32, 4, 967-985.
185. Basnet, C., and Mize, J. H., 1994. Scheduling and control of flexible manufacturing systems:
a critical review. International Journal of Computer Integrated Manufacturing, 7, 6, 340-355.
186. Kim, M. H., and Kim, Y.-D., 1994. Simulation-based real-time scheduling in a flexible
manufacturing system. Journal of Manufacturing Systems, 13, 85-93.
187. Kumar, P.R., “Scheduling manufacturing systems of re-entrant lines,” in Stochastic Modeling
and Analysis of Manufacturing Systems, David D. Yao, ed., pages 325-360, Springer-Verlag,
New York, 1994.
188. Kempf, Karl G., “Intelligently scheduling semiconductor wafer fabrication,” in Intelligent
Scheduling, M. Zweben and M.S. Fox, eds., Morgan Kaufmann Publishers, San Francisco,
1994.
189. Szelke, E., and Kerr, R., 1994. Knowledge-based reactive scheduling. Production Planning &
Control, 5, 2, 124-145.
190. Prietula, Michael J., Wen-Ling Hsu, Peng Si Ow, and Gerald L. Thompson, “MacMerl:
mixed-initiative scheduling with coincident problem spaces,” in Intelligent Scheduling, M.
Zweben and M.S. Fox, eds., Morgan Kaufmann Publishers, San Francisco, 1994.
191. Smith, Stephen F., “OPIS: a methodology and architecture for reactive scheduling,” in
Intelligent Scheduling, Monte Zweben, and Mark S. Fox, eds., pages 29-66, Morgan
Kaufmann Publishers, San Francisco, 1994.
192. Miyashita, Kazuo, and Katia Sycara, “Adaptive case-based control of schedule revision,” in
Intelligent Scheduling, Monte Zweben, and Mark S. Fox, eds., pages 29-66, Morgan
Kaufmann Publishers, San Francisco, 1994.
193. Barbosa, A.P. & S.Machietto, (1994), Detailed Design of Multipurpose Batch Plants, Comp.
& Chem.Engng, 18,11/12, 1013-1042
194. Zhang, X.; Sargent, R. W. H. The Optimal Operation of Mixed Production Approaches for the
Solution. In Proceedings of the 5th International Symposium on Process Systems
Engineering, Kyongju, Korea, 1994, 171.
195. Pinto, J. and I.E. Grossmann, "Optimal Scheduling of Multistage Multiproduct Continuous
Plants," Computers and Chemical Engineering, 18, 797-816 (1994)
196. Norton, L.C. and I.E. Grossmann, "Strategic Planning Model for Complete Process
Flexibility," Ind.Eng.Chem.Res., 33, 69-76 (1994).
197. DAS, SANCHOY K., and SUBHASH C. SARIN. 1994. Integrated Approach to Solving the
Master Aggregate Scheduling Problem. International Journal of Production Economics
34(2):167-78.
198. KELLE, P., G. CLENDENEN, and P. DARDEAU. 1994. Economic Lot Scheduling Heuristic
for Random Demands. International Journal of Production Economics 35(1- 3):337-42.
199. Oded Berman, Zvi Ganz, and Janet M. Wagner. A stochastic optimization model for planning
capacity expansion in a service industry under uncertain demand. Nav. Res. Logist. 41, No.4,
545- 564, 1994.
200. Knut Haase. Lotsizing and scheduling for production planning. Lecture Notes in Economics
and Mathematical Systems 408. Springer-Verlag, 1994.
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201. B.Ivanov, K. Peneva, N. Vaklieva-Bancheva, Synthesis of a Flexible Heat Exchange
Network for a Hot-Cold Batch Reactors System, Hungarian Journal of Industrial
Chemistry, Volume 23, pp. 251-260, 1995 (English).
202. Daniels, R.W. and Kouvelis, P. (1995). Robust scheduling to hedge against processing times
uncertainty in single stage production. Management Science, 41, 363{376.de Kok, A.G. and
Fransoo, J.C. (2003). Planning supply chain operations: de¯ni-tion and comparison of
planning concepts. In de Kok, A.G. and Graves, S.C.(eds), Handbooks in operations research
and management science, Vol. 11, Supply chain management: design, coordination and
operation. North-Holland Publishing Company, Amsterdam.
203. Pinedo, M. (1995). Scheduling: theory, algorithms and systems. Prentice Hall, NewJersey.
204. Pinto, J.M. and Grossmann, I.E. (1995). A continuous time mixed integer linear programming
model for short term scheduling of multistage batch plants. Industrialand Engineering
Chemistry Research, 34, 3037{3051.
205. Subrahmanyan, S., Bassett, M.H., Pekny, J.F. and Reklaitis, G.V. (1995). Issues in solving
large scale planning, design and scheduling problems in batch chemical plants. Computers
and Chemical Engineering, 19(Suppl.), S577{S582.
206. Ierapetritou, M.G., Pistikopoulos, E.N., Floudas, C.A. (1995).Operational planning under
uncertainty. Comp. Chem.Engg. 20, 1499.
207. Pinto, J.M. and Grossmann, I.E. A Continuous Time Mixed Integer Linear Programming
Model for Short Term Scheduling of Multistage Batch Plants. Ind.Eng. Chem. Res. 1995, 34,
3037-3051.
208. Pantelides, C.C., M.J. Realff, N. Shah, 1995. Short-Term Scheduling of PipelessBatch Plants.
Chemical Engineering Research and Design 73 (A4), 431-444.
209. Shah, N., Pantelides, C., Papageorgiou, L., Liberis, L., 1995. gBSS: An integrated software
system for multipurpose plant optimisation. In: Proc. IChemE Res. Event, Edinburgh.
210. Ovacik, I. M., and Uzsoy, R., 1995. Rolling horizon procedures for dynamic parallel machine
scheduling with sequence-dependent setup times. International Journal of Production
Research, 33, 11, 3173-3192.
211. Wu, H.-H., and Li., R.-K., 1995. A new rescheduling method for computer based scheduling
systems. International Journal of Production Research, 33, 8, 2097-2110.
212. Henning, G. P., and Cerda, J., 1995. An expert system for predictive and reactive scheduling
of multiproduct batch plants. Latin American Applied Research, 25, 187-198.
213. Daniels, R.L., and P. Kouvelis, “Robust scheduling to hedge against processing time
uncertainty in single-stage production,” Management Science, Volume 41, Number 2, pages
363-376, 1995.
214. Herrmann, Jeffrey W., Chung-Yee Lee, and Jim Hinchman, “Global job shop scheduling with
a genetic algorithm,” Production and Operations Management, Vol. 4, No. 1, pp. 30-45,
1995.
215. Brown, Donald E., and William T. Scherer, Intelligent Scheduling Systems, Kluwer Academic
Publishers, Norwell, Massachusetts, 1995.
216. John R. Birge and M.A.H. Dempster. Optimal match-up strategies in stochastic scheduling.
Discrete Appl. Math. 57, No.2-3, 105-120, 1995.
217. L. F. Escudero, I. Paradinas, and F. J. Prieto. Generation expansion planning under
uncertainty in demand, economic environment, generation availability and book life. In
Proceedings of the IEEE Stockholm Power Tech, pages 226–233, Stockholm, Sweden, 1995.
Publication 1996
218. N. Vaklieva- Bancheva, B. Ivanov, An Approach for Solving a Scheduling Problem for
Multipurpose Batch Chemical Plants, Hungarian .Journal of Industrial Chemistry, Volume
24, pp. 87-93, 1996 (English).
219. Boyadjiev Chr., B. Ivanov, N. Vaklieva-Bancheva, C.C. Pantelides, N. Shah, Optimal Energy
Integration in Antibiotics Manifacture, Computers and Chemical Engineering Volume 20,
pp. S31-S36, 1996 (English).
220. N.Vaklieva-Bancheva, B.B.Ivanov, N. Shah and C. C. Pantelides Heat Exchanger Network
Design for Multipurpose Batch Plants Computers and Chemical Engineering Volume 20,
pp. 989-1001, 1996 (English).
221. N. Vaklieva-Bancheva, B. Ivanov, Stratey for Energy Decreasing in Batch Chemical
Plants, Proceedings of Bulgarian-Hungarian Workshop'96, April 23-(English)
222. Ishii, N. and Muraki, M. (1996). A process-variability-based online scheduling system in
multiproduct batch process. Computers and Chemical Engineering, 20(2), 217{234.
223. Papageorgiou, L.G. and Pantelides, C.C. (1996). Optimal campaign planning/scheduling of
multipurpose batch/semicontinuous plants. 1. Mathematical for- mulation. Industrial and
Engineering Chemistry Research, 35, 488{509.
224. Papageorgiou, L.G.; Pantelides, C.C. Optimal Campaign Planning/Scheduling of
MultipurposeBatch/Semicontinuous Plants. 2. Mathematical Decomposition Approach. Ind.
Eng. Chem. Res., 35, 510-529 (1996).
225. Subrahmanyan, S., Pekny, J.F. and Reklaitis, G.V. (1996). Decomposition approaches to
batch plant design and planning. Industrial and Engineering Chemistry Research, 35,
1866{1876.
226. Bassett, M., Pekny, J., Reklaitis, G., 1996. Decomposition techniques for the solution of
large-scale scheduling problems. AIChE Journal 42, 3373{3387.
227. Mockus, L. and G. V. Reklaitis, “Continuous time representationin batch/semi-continuous
processes: randomized heuristic approach,”Comput. Chem. Eng., 20, S1173–S1177 (1996).
228. Reklaitis, G.V. (1996). Overview of scheduling and planning of batch process operations. In
Reklaitis, G.V., Sunol, A.K., Rippin, D.W.T. and Hortacsu, O. (eds),Batch processing systems
engineering. Springer, Berlin.
229. Baptiste, P. and Le Pape, C.,”Disjunctive Constraints for Manufacturing Scheduling:
Principles and Extensions,” International Journal of Computer Integrated Manufacturing,
9(4), 306-3410 (1996).
230. Bhatia, T. and L. T. Biegler. Dynamic optimization in the design and scheduling of
multiproduct batch plants. I & EC Research, 35, 7:2234, 1996.
231. Grossmann, I.E., J. Quesada, R Raman and V. Voudouris, "Mixed Integer
OptimizationTechniques for the Design and Scheduling of Batch Processes," Batch
ProcessingSystems Engineering (Eds. G.V. Reklaitis, A.K. Sunol, D.W.T. Rippin, O.
Hortacsu),451-494, Springer-Verlag, Berlin (1996).
232. Orcun, S., Altinel, I., Hortacsu, O., 1996. Scheduling of batch processes with operational
uncertainties. Computers and Chemical Engineering 20, 1191{ 1196.
233. Rotstein, G., Lavie, R., Lewin, D., 1996. Synthesis of exible and reliable short-term batch
production plans. Computers and Chemical Engineering 20, 201{215.
234. T. Bahia and L. Biegler, “Dynamic operations in the planning and scheduling of multiproduct batch plants,” inProceedings 5th International Conference on Chemical Process
Control, Tahoe City, 1996.
235. J. M. Pinto and I. E. Grossmann, “A continuous time MILP model for short term scheduling
of batch plantswith pre-ordering constraints,” in Proc. Sixth European Symposium on
Computer Aided Process Engineering(ESCAPE–6), 1996, pp. 1197–1202.
236. E. N. Pistikopoulos, T. V. Thomaidis, A. Melix, and M. G. Ierapetritous, “Flexibility,
reliability and maintenanceconsiderations in batch plant design under uncertainty,”
Computers & Chemical Engineering vol. 20, pp. 1209–1214, 1996.
237. G. Schilling and C. C. Pantelides, “A simple continuous-time process scheduling formulation
and a novel solution algorithm,” Computers & Chemical Engineering vol. 20, pp. S1221–
S1226, 1996.
238. L. Papageorgiou and C. C. Pantelides. Optimal campaign planning/scheduling of
multipurpose batch/semicontinuous planst. 1.mathematical formulation. Ind. Eng. Chem. Res.,
35:488{509, 1996a.
239. Papageorgiou, L.G.; Pantelides, C.C. Optimal Campaign Planning/Scheduling of
MultipurposeBatch/Semicontinuous Plants. 2. Mathematical Decomposition Approach. Ind.
Eng. Chem. Res., 1996,35, 510-529.
240. G. Schilling and C. C. Pantelides. A simple continuous-time process scheduling formulation
and a novel solution algorithm. Comp. Chem. Eng., 20(4):S1221{S1226, 1996.
241. Rippin, and O. Hortacsu, editors, Batch Processing Systems Engineering, pages 451–494.
Springer-Verlag, Berlin (1996).
242. Ierapetritou, M. G., J. Avecedo, and E. N. Pistokopoulos, “Anoptimization approach for
process engineering problems underuncertainty,” Comput. Chem. Eng., 20(6-7), 703–709
(1996).
243. Liu, M. L. and N. V. Sahinidis, “Optimization in Process planning under uncertainty,” Ind.
Eng. Chem. Res., 35, 4154–4165(1996).
244. Smith, E. and C. Pantelides, Global Optimisation of General Process Models, In Grossmann,
I. E., editor, Global Optimization in Engineering Design, pages 355–386. Kluwer, Dordrecht
(1996).
245. Wilkinson, S. J., A. Cortier, N. Shah, and C. C. Pantelides, “Integrated production and
distribution scheduling on a Europe-widebasis,” Comput. Chem. Eng., 20, S1275–S1280
(1996).
246. Wilkinson, S. J., Aggregate formulations for large-scale processs scheduling problems, PhD
thesis, Imperial College, London(1996).
247. Zhang, X. and R. W. H. Sargent, “The optimal operation of mixed production facilities-a
general formulation and some approach esfor the solution,” Comput. Chem. Eng., 20, S897–
S904 (1996).
248. Grau, R., A. Espuna, L. Puigjaner, 1996. Completion times in multipurpose batch plants with
set-up, transfer and clean-up times. Computers and Chemical Engineering20, S1143-S1148.
249. Kim, M., J.H. Jung, I.B. Lee, 1996. Optimal Scheduling of Multiproduct Batch Processes for
Various Intermediate Storage Policies. Industrial & Engineering Chemistry Research 35,
4058-4066.
250. Realff, M.J., N. Shah, C.C. Pantelides, 1996. Simultaneous Design, Layout and Scheduling of
Pipeless Batch Plants. Computers and Chemical Engineering 20 (6/7),869-883.
251. Schilling, G; Pantelides, C. C. A Simple Continuous- Time Process Scheduling Formulation
and a Novel Solution Algorithm. Comput. Chem. Eng. 1996, 20, S1221.
252. Liu, J., and B.L. MacCarthy, “The classification of FMS scheduling problems,” International
Journal of Production Research, Volume 34, Number 3, pages 647-656, 1996.
253. Hall, Nicholas G., and Chelliah Sriskandarajah, “A survey of machine scheduling problems
with blocking and no-wait in process,” Operations Research, Volume 44, Number 3, pages
510-525, 1996.
254. Akkan, C., “Overtime scheduling: an application in finite-capacity real-time scheduling,”
Journal of the Operational Research Society, Volume 47, pages 1137-1149, 1996.
255. Grossmann, I.E., J. Quesada, R Raman and V. Voudouris, "Mixed Integer Optimization
Techniques for the Design and Scheduling of Batch Processes," Batch 8 Processing Systems
Engineering (Eds. G.V. Reklaitis, A.K. Sunol, D.W.T. Rippin, O. Hortacsu), 451-494,
Springer-Verlag, Berlin (1996).
256. Voudouris, V. and I.E. Grossmann, "An MILP Model for the Optimal Design and Scheduling
of a Special Class of Multipurpose Plants," Computers Chem. Engng,, 20, 1335-1360 (1996)
257. Pinto, J. and I.E. Grossmann, " An Alternate MILP Model for Short Term Batch Scheduling
with Pre-ordering Constraints", Ind. Eng. Chem. Research, 35, 338-342 (1996).
258. .M. Pinto and I.E. Grossmann, I.E., "A Continuous Time MILP Model for Short Term
Scheduling of Batch Plants with Pre-Ordering Constraints",Computers and Chemical
Engineering, 20, S1197-S1202 (1996).
259. Lee, H., J.M. Pinto, I.E. Grossmann and S. Park, "MILP Model for Refinery Short Term
Scheduling of Crude Oil Unloading with Inventory Management", I&EC Research, 35, 16301641 (1996).
260. Schmidt, C.W. and I.E. Grossmann, "A Mixed Integer Programming Model for Stochastic
Scheduling in New Product Development", Computers and Chemical Engineering, 20,
S1239-S1244 (1996).
261. JSchmidt, C.W. and I.E. Grossmann, "Optimization Models for the Scheduling of Testing
Tasks in New Product Development", Ind.Eng.Chem. Res. 35, 3498-3510 (1996).
262. HOMBURG, CARSTEN. 1996. Production Planning with Multiple Objectives in
Decentralized Organizations. International Journal of Production Economics 56-57:243- 52.
263. ZAPFEL, GUNTHER. 1996. Production Planning in the Case of Uncertain Individual
Demand Extension for an MRP II Concept. International Journal of Production Economics
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265. Akkan, C. (1997). Finite-capacity scheduling-based planning for revenue-based ca-pacity
management. European Journal of Operational Research, 100, 170{179.
266. Dimitriadis, A.D., Shah, N. and Pantelides, C.C. (1997). RTN-based rolling horizontal
gorithms for medium term scheduling of multipurpose plants. Computers and Chemical
Engineering, 21(Suppl.), S1061{S1066.
267. Andrews, A. and S. Bacher, “Batch process modeling as a tool for process development,
”AspenWorld 97, Boston, MA (October 1997).
268. Applequist, G., Samikoglu, O., Pekny, J., Reklaitis, G., 1997. Issues in the use, design and
evolution of process scheduling and planning systems. ISATransactions 36, 81{121.
269. Petkov, S.B., Maranas, C.D. (1997). Multiperiod planning and scheduling of multiproduct
batch plants under demand uncertainty. Ind. Eng. Chem. Res. 36, 4864.
270. Sanmarti, E., Espunia, A., Puigjaner, L. (1997). Batch production and preventive maintenance
scheduling under equipmentfailure uncertainty. Comp. Chem. Engg. 21, 1157.
271. Bassett, M. H., Pekny, J. F., & Reklaitis, G. V. (1997). Using detailed scheduling to obtain
realistic operating policies for a batch processing facility. Industrial Engineering and
Chemistry Research, 36,1717–1726.
272. Honkomp, S. J., Mockus, L., & Reklaitis, G. V. (1997). Robust scheduling with processing
time uncertainty. Computers and Chemical Engineering,21, 1055–1060.
273. Iyer, R.R.; Grossmann, I.E. Optimal multiperiod operational planning for utility systems,
Comp. Chem. Eng. (1997), 21(8), 787.
274. L. Mockus and G. V. Reklaitis, “Mathematical programming formulation for scheduling of
batch operations basedon nonuniform time discretization,” Computers & Chemical
Engineering vol. 21, pp. 1147–1156, 1997.
275. Elkamel, M. Zentner, J. Pekny, and G. Reklaitis. A decomposition heuristic for scheduling the
general batch chemical plant. Eng. Opt., 28(4):299{330, 1997.
276. L. A. Wolsey. Mip modelling of changeovers in production planning and scheduling
problems. European.J. Oper. Res., 99:154{165, 1997.
277. Equi, L., G. Gallo, S. Marziale, and A. Weintraub, “A combined transportation and
scheduling problem,” European Journal of Operational Research, 97, 94–104 (1997).
278. McDonald, C. and I. A. Karimi, “Planning and Scheduling of ParallelSemicontinuous
Processes 1. Production Planning,” Ind.Eng. Chem. Res., 36, 2691 (1997).
279. Goldman, R.P., M. S. Boddy, 1997. A constraint-based scheduler for batch manufacturing.
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280. Lee, C.Y., L. Lei, M. Pinedo, 1997. Current Trends in Deterministic Scheduling. Annals of
Operations Research 70, 1-41.
281. Lee, Tae-Eog, and Marc E. Posner, “Performance measures and schedules in periodic job
shops,” Operations Research, Volume 45, Number 1, pages 72-91, 1997.
282. Georgiadis M. C.; Rotstein, G. E.; Macchietto, S. Optimal Layout Design in Multipurpose
Batch Plants. Industrial & Engineering Chemistry Research, 1997, 36(11),4852-4863.
283. Harjunkoski, I., 1997. Application of MINLP methods to s scheduling problem in thepaperconverting industry. Ph.D. thesis, _Abo Akademi University.
284. Pinto, J., Grossmann, I., 1997. A logic based approach to scheduling problems with resource
constraints. cce 21 (8), 801{818. P¨orn, R., 2000. Mixed integer non-linear programming:
Convexi_cation techniques and algorithm development. Ph.D. thesis, _Abo Akademi
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285. Wiers, V., 1997. A review of the applicability of OR and AI scheduling techniques in
practice. OMEGA - Int. J.Mgmt.Sci 25 (2), 145{153.
286. Jain, A. K., and Elmaraghy, H. A., 1997. Production scheduling/rescheduling in flexible
manufacturing. International Journal of Production Research, 35, 281-309.
287. Abumaizar, R. J., and Svestka, J. A., 1997. Rescheduling job shops under disruptions.
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288. Fang, J., and Xi, Y., 1997. A rolling horizon job shop rescheduling strategy in the dynamic
environment. The International Journal of Advanced Manufacturing Technology, 13, 227232.
289. Gonnet, S. & O. Chiotti, (1997), Modeling of the Super-vising Control System of a
Multipurpose Batch Plant, Comp and Chem. Engng. Vol. 21, pp.S691-S696.
290. Ishii,N, and M. Masaaki, (1997), A Generic Framework for an on-line Scheduling and
ControlSystem in Batch Processes, Comp. Chem. Engng,12,11, pp 1291-1310.
291. Cerdá, J.; Henning, G. P.; Grossmann, I. E. A Mixed-Integer Linear Programming Model for
Short-TermScheduling of Single-Stage Multiproduct Batch Plants with Parallel Lines. Ind.
Eng. Chem. Res.1997, 36, 1695.
292. Xia Q. and Macchietto S., 1997, Design and synthesis of batch plants - minlp solution
basedon a stochastic method. Comp. Chem. Engng. 21, S697–S702.
293. Clay, R.L. and I.E. Grossmann, "A Disaggregation Algorithm for the Optimization of
Stochastic Production Planning Models," Computers and Chemical Engineering 21, 751774 (1997).
294. Vollmann, Thomas E., William L. Berry, and D. Clay Whybark, Manufacturing Planning and
Control Systems, fourth edition, Irwin/McGraw-Hill, New York, 1997.
295. Cerda, J., G. P. Henning and I.E. Grossmann, "A Mixed-Integer Linear Programming
Model for Short Term Batch Scheduling in Parallel Lines", Ind.Eng.Chem. Res. 36, 16951707 (1997).
296. KIRA, D., M. KUSY, and I. RAKITA. 1997. A Stochastic Linear Programming Approach
To Hierarchical Production Planning. Journal of the Operational Research Society 48:20711.
297. QIU, M. M., and E. E. BURCH. 1997. Hierarchical Production Planning and Scheduling in
a Multi-product, Multi-machine Environment. International Journal of Production Research
35(11):3023-42.
298. TARDIF, VALERIE, and MARK L. SPEARMAN. 1997. Diagnostic Scheduling in Finitecapacity Production Environments. Computers & Industrial Engineering 32(4):867-78.
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299. N. Vaklieva-Bancheva, B. Ivanov, T. Massev, Waste water Reduction from the culture
medium Preparation Step of an Antibiotic Production Hungarian Journal of Industrial
Chemistry, Volume 26, pp. 55-62, 1998 (English).
300. Pozna, B.Ivanov and N. Vaklieva-Bancheva, Design of a Heat Exchanger Network for a
System of Batch Vessels, Hungarian Journal of Industrial Chemistry, Volume 26, pp. 205211, 1998 (English)
301. Bok, J.K. and Park, S. (1998). Continuous-time modeling for short-term scheduling of
multipurpose pipeless plants. Industrial and Engineering Chemistry Research, 37,
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302. Ierapetritou, M. G., & Floudas, C. A. (1998). Effective continuous time formulation for
short-term scheduling. 1. Multipurpose batch processes. Industrial and Engineering
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303. Mixed-integer nonlinear optimization in process synthesis C.A.Floudas,1998
304. Le Pape, C. Implementation of Resource constraints in ILOG SCHEDULE: A Library for
theDevelopment of Constrained-Based Scheduling Systems. Intelligent Systems
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305. Systematic Batch Process Development and Analysis via an Advanced Modeling and
Simulation Tool Ajay Modi and Reiner Musier Aspen Technology, Inc. Ten Canal Park
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306. Jung, J. H., C. H. Lee and I-B Lee, "A Genetic Algorithm for Scheduling of
MultiproductBatch Processes," Comp. Chem. Eng., 22, p. 1725 (1998)
307. Moro, L. F. L., A. C. Zanin, and J. M. Pinto, “A planning modelfor refinery diesel
production,” Comput. Chem. Eng., 22, S1039(1998).
308. N. Shah, “Single and multisite planning and scheduling: Current status and future
challenges,” in AIChE SymposiumSeries 320, Foundations of Computer-Aided Process
Operations, J.F. Pekny and G.F. Blau (eds.), 1998, pp. 75–90.
309. Das, B.P., N. Shah, P.W.H. Chung, 1998. Off-line scheduling a simple chemical
batchprocess production plan using the ILOG scheduler. Computers and
ChemicalEngineering 22, S947-S950.
310. Avraam, M., N. Shah, and C. Pantelides. Modeling and optimization of general hybrid
systems in continuous time domain. Comp. Chem. Engr., 22:S221, 1998.
311. Pekny, J., Reklaitis, G., 1998. Towards the convergence of theory and practice: a
technology guide for scheduling/planning methodology. In: Proc. 3rd Conf. Foundations of
Computer-Aided Process Operations. CACHE Publications, Michigan, pp. 91{111.
312. F. Bl¨omer and H.-O. G¨unther, “Numerical evaluation of MILP models for scheduling
chemical batch processes,”Berlin, Technical Report 1999/05, Department of Industrial
Management, TU Berlin, 1998b.
313. R. E. Burkard, M. Hujter, B. Klinz, R. Rudolf, and M. Wennink, “A process scheduling
problem arising from chemical production planning,” Optimization Methods and Software
vol. 10, pp. 175–196, 1998.
314. Loehl, T., C. Schulz and S. Engell, "Sequencing of Batch Operations for Highly Coupled
Production Process: Genetic Algorithms vs. Mathematical Programming," Comp.
Chem.Eng., 22, p. S579 (1998)
315. Iyer, R. R. and I. E. Grossmann, “A Bilevel Decomposition Algorithmfor Longe-Range
planning of process networks,” Ind.Eng. Chem. Res., 37, 474 (1998a).
316. Iyer, R. R. and I. E. Grossmann, “Synthesis and operational planning of utility systems for
multiperiod operation,” Comput.Chem. Eng., 22, 979–993 (1998b).
317. Iyer, R., I.E. Grossmann, S. Vasantharajan and A.S. Cullick, "Optimal Planning and
Scheduling of Offshore Oil Field Infrastructure Investment and Operations," Ind.Eng.Chem.
Res. 37, pp.1380-1397 (1998).
318. Nowak, M. P. and W. R¨omisch, Stochastic Lagrangean Relaxationapplied to Power
Scheduling in a Hydro-Thermal System underUncertainty, Institut f¨ur Mathematik
Humboldt-Universit¨atBerlin, Preprint (1998).
319. Chen, B., C.N. Potts, G.J. Woeginger, 1998. A Review of Machine Scheduling:Complexity,
Algorithms and Approximability, in: D.-Z. Du and P. Pardalos, eds.,Handbook of Combinatorial
Optimization, Vol. 3 (Kluwer Academic Publishers), 21–169.
320. Peng, C., and Chen, F. F., 1998. A simulation based ordinal optimization approach to real-time control
and scheduling of flexible manufacturing systems. Working paper submitted for presentation at
NAMRC XXVI (May 1998) and publication at Transactions of NAMRI/SME.
321. Yu, H., S.Lloyd, G. Kelleher, 1998. Closed-loop control and on-line scheduling of thebatch process
plants. IASTED international conference on intelligent systems andcontrol, Halifax, Canada, June, 1-3.
322. Seo J. W.; Kim, S. J.; Kim, K. H.; Oh, M.; Lee, T. H. Optimal Design of a Crude Distillation Column
Using Optimization Techniques. American Society of Mechanical Engineers, Pressure Vessels and
Piping Division, 1998, 177-182.
323. Westerlund, T., Skrifvars, H., Harjunkoski, I., P¨orn, R., 1998. An extended cutting plane method for
solving a class of non-convex MINLP problems. Comput. Chem. Eng. 22, 357{365.
324. McPherson, R. F., and White, K. P. Jr., 1998. Periodic flow line scheduling. International Journal of
Production Research, 36, 1, 51-73.
325. Mehta, S. V., and Uzsoy, R. M., 1998. Predictable scheduling of a job shop subject to breakdowns.
IEEE Transactions on Robotics and Automation, 14, 365-378.
326. Jones, A., Riddick, F., and Rabelo L., 1998. Development of a predictive-reactive scheduler using
genetic algorithms and simulation-based scheduling software. (White paper)
327. Chacon, G. R., 1998. Using simulation to integrate scheduling with the manufacturing execution
system. Future Fab International, 63-66.
328. Byeon, Eui-Seok, S. David Wu, and Robert H. Storer, “Decomposition heuristics for robust job shop
scheduling,” IEEE Transactions on Robotics and Automation, Volume 14, Number 2, pages 303-313,
1998.
329. Graells, M., J.Cantón, B. Peschaud and L. Puigjaner,(1998), General Approach and Tool for
theScheduling of Complex production Systems, Comp. Chem. Engng. Vol 22, pp. S395-S402.
330. Turkay, M. and I.E. Grossmann, "Tight Mixed-Integer Optimization Models for the Solution of Linear
and Nonlinear Systems of Disjunctive Equations," Computers and Chemical Engineering 22, 12291239 (1998).
331. Pinto, J.M., A. Turkay, B. Bolio and I.E. Grossmann, "STBS: Continuous Time MILP
Models for Short Term Scheduling of Batch Plants with Pre-ordering Constraints",
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332. Schmidt, C.W. and I.E. Grossmann, "Optimization of Industrial Scale Scheduling Problems in New
Product Development," Computers and Chemical Engineering 22, pp.S1027-S1030 (1998).
333. Grossmann, I.E., H. Yeomans and Z. Kravanja, "A Rigorous Disjunctive Optimization Model for
Simultaneous Flowsheet Optimization and Heat Integration," Computers and Chemical Engineering
22, pp. S157-S164 (1998).
334. J. M. Pinto and I. E. Grossmann, “Assignment and sequencing models for the scheduling of
process systems,”Annals of Operations Research vol. 81, pp. 433–466, 1998.
335. Jain, V. and I.E. Grossmann, "Cyclic Scheduling and Maintenance of Parallel Process Units with
Decaying Performance", AIChE J., 44, pp. 1623-1636 (1998)
336. HUANG, H. J., and G. XU. 1998. Aggregate Scheduling and Network Solving of Multistage and
Multi-item Manufacturing Systems. European Journal of Operational Research 105(1):52-65.
337. J. R. Stedinger. Stochastic multi-reservoir hydroelectric scheduling. In Proceedings 28. Internationales
Wasserbau-Symposium,Wasserwirtschafliche Systeme—Konzepte, Konflikte, Kompromisse, pages 89–
117, Aachen, Germany, 1998. Institut f¨ur Wasserbau und Wasserwirtschaft, RheinischWestf¨alischen Technischen Hochschule Aachen.
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338. N.Vaklieva-Bancheva, B.Ivanov, Waste Minimization Through Optimal Plant Retrofit, Computers
and Chemical Engineering (1999), S75-S78 (English)
339. G. Marinov, N. Vaklieva-Bancheva, B. Ivanov, Chr. Boyadjiev, V. Nikolova, A program Package for
Technological process Simulation in Petroleum Terminals and Fuel and Oil Depots, Bulgarian
Chemistry and Industry, v.70, No4, pp.120-124, 1999. (English)
340. COLANTONIO, M.C., PAPAGEORGIOU,L.G. AND SHAH,N. 'Short and long term scheduling
for semiconductor industry'.In 7th IEEE Mediterranean Conference on Control and Automation.1999;
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341. GJERDRUM, J., PAPAGEORGIOU, L.G.AND SHAH, N. 'Fair Transfer Price and Inventory
Holding Policies for Multi-enterprise Supply Chains'.In AIchE Annual Meeting,Dallas,USA. 1999;
342. VASSILIADIS,C.G.,ARVELA, J., PAPAGEORGIOU,L.G. AND PISTIKOPOULOS,E.N.
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343. Raaymakers, W.H.M. (1999). Order acceptance and capacity loading in batch process industries.
Ph.D. thesis, Eindhoven University of Technology.
344. Schilling, G. and Pantelides, C.C. (1999). Optimal periodic scheduling of multipurpose plants.
Computers and Chemical Engineering, 23(4-5), 635{655.
345. van Bael, P. (1999). A study of rescheduling strategies and abstraction levels for a chemical process
scheduling problem. Production Planning and Control, 10, 359{ 364.
346. Fritz, M., 1999. A software architecture for modelling and simulation of recipedriven multipurpose
plants. Ph.D. thesis, Dortmund University, Departmentof Chemical Engineering, Dortmund, Germany,
in German.
347. Honkomp, S., Mockus, L., Reklaitis, G., 1999. A framework for schedule evaluation with processing
uncertainty. Computers and Chemical Engineering 55 23, 595{609.
348. Stobbe, M., Engell, S., 1999. Intelligent scheduling of chemical plants: A constraint programming
approach. In: Proc. 14th IEEE International Symposium on Intelligent Control/Intelligent Systems and
Semiotics. Cambridge, pp. 242{247.
349. L. Mockus and G. V. Reklaitis. Continuous time representation approach to batch and continuous
process scheduling. I.MINLP formulation. Ind. Eng. Chem. Res., 38(1):197{203, 1999.
350. Van den Heever, S. A. and I. E. Grossmann, “Disjunctive multiperiod optimization methods for design
and planning of chemical process systems,” Comput. Chem. Eng., 23, 1075–1095(1999).
351. Ereng¨u¸c, S. S., N. C. Simpson, and A. J. Vakharia, “Integrated production/distribution planning in
supply chains: An invitedreview,” European Journal of Operational Research, 115, 219–236 (1999).
352. Gupta, A. and C. D. Maranas, “A Hierarchical Lagrangean RelaxationProcedure for Solving Midterm
Planning Problems,” Ind.Eng. Chem. Res., 38, 1937–1947 (1999).
353. Mazzola, J. B. and A. W. Neebe, “Lagrangian relaxation based solution procedures for a multiproduct
capacitated facility location problem with choice of facility type,” European Journal ofOperational
Research, 115, 285–299 (1999).
354. Huang, W., P.W.H. Chung, 1999. Scheduling of Multistage Multiproduct Chemical Batch Plants Using
A Constraint-Based Approach. Computers and Chemical Engineering 23, S511-S514.30
355. Shaw, K.J., A.L.Nortcliffe, M.Thompson, J.Love, P.J.Fleming, 1999. Interactive Batch Process
Schedule Optimization and Decision-Making Using Multiobjective Genetic Algorithms. 1999 IEEE
conference on systems, man and cybernetics, Tokyo,VI486-VI491.
356. Shah, N., 1999. Single- and multi-site planning and scheduling: Current status and future challenges.
AIChE Symp Series 320 94, 75{90.
357. Sabuncuoglu, I., and Karabuk, S., 1999. Rescheduling frequency in an FMS with uncertain processing
times and unreliable machines. Journal of Manufacturing Systems, 18, 4, 268-283.
358. Shafaei, R., and Brunn, P., 1999. Workshop scheduling using practical (inaccurate) data - Part 1: The
performance of heuristic scheduling rules in a dynamic job shop environment using a rolling time
horizon approach. International Journal of Production Research, 37, 17, 3913-3925.
359. Shafaei, R., and Brunn, P., 1999. Workshop scheduling using practical (inaccurate) data - Part 2: An
investigation of the robustness of scheduling rules in a dynamic and stochastic environment.
International Journal of Production Research, 37, 18, 4105-4117.
360. Pinedo, Michael, and Xiuli Chao, Operations Scheduling with Applications in Manufacturing and
Services, Irwin McGraw Hill, Boston, 1999.
361. Wu, S. David, Byeon, Eui-Seok, and Storer, Robert H., “A graph-theoretic decomposition of the job
shop scheduling problem to achieve scheduling robustness,” Operations Research, Volume 47,
Number 1, pages 113-124, 1999.
362. Bierwirth, Christian, and Dirk C. Mattfeld, “Production scheduling and rescheduling with genetic
algorithms,” Evolutionary Computation, Volume 7, Number 1, pages 1-17, 1999.
363. O’Donovan, Ronan, Reha Uzsoy, and Kenneth N. McKay, “Predictable scheduling of a single machine
with breakdowns and sensitive jobs,” International Journal of Production Research, Volume 37,
Number 18, pages 4217-4233, 1999.
364. Akturk, M. Selim, and Elif Gorgulu, “Match-up scheduling under a machine breakdown,” European
Journal of Operational Research, Volume 112, pages 81-97, 1999.
365. McKay, Kenneth N., and Vincent C.S. Wiers, “Unifying the theory and practice of production
scheduling,” Journal of Manufacturing Systems, Volume 18, Number 4, pages 241-255, 1999.
366. Lozano and Chiotti, (1999). Modeling of the Supervising Control of a Multipurpose Batch Plant
Operated by Activities, Comp. and Chem. Engng,pp. S187-S190.
367. Jain, V. and I.E. Grossmann, "Resource Constrained Scheduling of Tests in New Product
Development, " Ind.Eng.Chem. Res. 38, 3013-3036 (1999).
368. Finite Capacity Production Planning with Random Demand and Limited Information Michael
Albritton, Alexander Shapiro and Mark Spearman School of Industrial and Systems Engineering
Georgia Institute of Technology, Atlanta, Georgia 30332-0205 USA April 1999
369. O. B. Fosso, A. Gjelsvik, A. Haugstad, B. Mo, and I. Wangensteen. Generation scheduling in a
deregulated system. The Norwegian case. IEEE Transactions on Power Systems, 14(1):75–80, 1999.
370. Wang, C., Quan, H., & Xu, X. (1999). Optimal design of multiproduct batch chemical processes using
tabu search. Computers and Chemical Engineering, 23, 427.
371. A process scheduling problem Arising from Chemical Production Planning, Rainer E. Burkarg and all,
1999
372. Computer optimal operation Schemes for Multi Batch Operation of Chemical Plants, 1999
373. Short-term Scheduling of Batch Plants with Multiple Intermediate Due Dates M. G. Ierapetritou, T. S.
Hen´e and C.A. Floudas 1, 1999
374. Design, Synthesis and Scheduling of Multipurpose Batch Plants via an Effective ContinuousTime Formulation Xiaoxia Lin and Christodoulos A. Floudas, 1999
Publication 2000
375. GEORGIADIS,M.C. AND PAPAGEORGIOU,L.G. Optimal energy and cleaning management in
heat exchanger networks under fouling. Chem Engng Res Des , TransIChemE, Part A 2000; vol.
78,168-179.
376. GEORGIADIS,M.C.AND PAPAGEORGIOU,L.G.'A Mathematical Programming Approach for the
Optimal Scheduling of Heat-integrated MultipurposePlants under Fouling Conditions'. In ESCAPE-10
Conference,Florence,Italy. 2000; 1111-1116.
377. GEORGIADIS,M.C., PAPAGEORGIOU,L.G. AND MACCHIETTO, S. Optimal cleaning
policies in heat exchanger networks under rapid fouling.Ind Eng Chem Res 2000; vol.39,441-454.
378. SHAH,N., SAMSATLI, N.J.,SHARIF, M.,BORLAND, J.AND PAPAGEORGIOU,L.G.
'Modelling and Optimisation for Pharmaceutical and Fine Chemical Process Development'. In
FOCAPD' 99,AIChE Symposium Series,Colorado,USA. 2000; vol.96,31-45.
379. VASSILIADIS,C.G.,ARVELA,J., PISTIKOPOULOS,E.N.AND PAPAGEORGIOU,L.G.
'Planning and Maintenance Optimization for Multipurpose Plants'.In ESCAPE-10 Conference,
Florence,Italy. 2000; 1105-1110.
380. VASSILIADIS,C.G., VASSILIADOU,M.G., PAPAGEORGIOU,L.G.AND PISTIKOPOULOS,
E.N. 'Simultaneous Maintenance Considerations and Production Planning in Multiphase Plants'.In
Annual Reliability and Maintainability Symposium.2000; 228-233.
381. Kim, S.B., Lee, H.K., Lee, I.B., E.S.Lee and B.Lee. (2000). Scheduling of non-sequential multipurpose
batch processes under ¯nite intermediate storage policy.Computers and Chemical Engineering, 24(27), 1603{1610.
382. Raaymakers, W.H.M. and Hoogeveen, J.A. (2000). Scheduling no-wait job shops by simulated
annealing. European Journal of Operational Research, 126, 131{151.
383. Raaymakers, W.H.M., Bertrand, J.W.M. and Fransoo, J.C. (2000a). The performance of workload
rules for order acceptance in batch chemical manufacturing. Journal of Intelligent Manufacturing, 11,
217{228.
384. Raaymakers, W.H.M., Bertrand, J.W.M. and Fransoo, J.C. (2000b). Using aggregate estimation
models for order acceptance in a descentralized production control for batch chemical manufacturing.
IIE Transactions, 32, 989{998.
385. Bok, J-K, I.E. Grossmann and S. Park, "Supply Chain Optimization in Continuous Flexible Process
Networks", I&EC Res. 39, 1279-1290 (2000).
386. Vargas-Villamil, F. D., & Rivera, D. E. (2000). Multilayer optimization and scheduling using model
predictive control: Application to reentrant semiconductor manufacturing lines. Computers and
Chemical Engineering, 24, 2009–2021.
387. Vargas pplequist, G., J. F. Pekny, and G. V. Reklaitis, “Risk and Uncertaintyin Managing Chemical
Manufacturing Supply Chains,”Comput. Chem. Eng., 24(9-10), 2211–2222 (2000).
388. Balasubramanian, J., Grossmann, I.E. (2000). Scheduling to minimize expected completion time in
flowshop plants with uncertain processing times. Proc. ESCAPE-10,Elsevier, 79.
389. S. Engell, A. M¨arkert, G. Sand, R. Schultz, and C. Schulz, “A hierarchical approach to real-time
scheduling of amultiproduct batch plant with uncertainties,” in Computer-Aided Chemical Engineering
8: European Symposiumon Computer-Aided Process Engineering, S. Pierucci (ed.), vol. 10, pp. 1075–
1080, 2000a.
390. Sand, G., S. Engell, A. Markert, R. Schultz, and C. Schulz, “Approximationof an ideal online
scheduler for a multiproduct batch plant,” Comput. Chem. Eng., 24(2-7), 361–367 (2000).
391. M. P. Nowak and W. R¨omisch, “Stochastic lagrangian relaxation applied to power scheduling in a
hydro-thermalsystem under Uncertainty,” Annals of Operations Research vol. 100, pp. 251–272, 2000.
392. Bose, S. and J. F. Pekny, “A model predictive framework for planningand scheduling problems: a case
study of consumer goodssupply chain,” Comput. Chem. Eng., 24, 329–335 (2000).
393. Harjunkoski, I., V. Jain, and I. E. Grossmann, “Hybrid Mixed-Integer/Constraint Logic Programming
Strategies for Solving Scheduling and Combinatorial Optimization Problems,” Comput.Chem. Eng.,
24, 337–343 (2000).
394. Perea, E., I. E. Grossmann, and E. Ydstie, “Towards the integration of dynamics and control for supply
chain management,”Comput. Chem. Eng., 24, 1143–1150 (2000).
395. Van den Heever, S. A., I. E. Grossmann, S. Vasantharajan, andK. Edwards, A Lagrangean
Decomposition Approach for the Design and Planning of O_shore Hydrocarbon Field Infrastructures
with Complex Economic Objectives, Submitted for publication(2000).
396. Brucker, P., J. Hurink, 2000. Solving a chemical batch scheduling problem by local search. Annals of
Operations Research 96, 17-38.
397. Das, B.P., N. Shah, P.W.H. Chung, W. Huang, 2000. Comparative study of time based and activitybased production scheduling. Hungarian Journal of Industrial Chemistry 28 (1), 7-10.
398. Huang, W., P.W.H. Chung, 2000. Scheduling of Pipeless Batch Plants Using Constraint Satisfaction
Techniques. Computers and Chemical Engineering 24 (2-7),377-383.
399. Rodrigues, L.A., M.Graells, J.Canton, L.Gimeno, M.T.M.Rodrigues, A.Espuna,L.Puigjaner, 2000.
Utilization of processing time windows to enhance planning and scheduling in short term multipurpose
batch plants. Computer and Chemical Engineering 24, 353-359.
400. Vin, J. P., M. G. Ierapetritou, 2000. A new approach for efficient rescheduling of multiproduct batch
plants, Industrial & Engineering Chemistry Research 39, 4228-4238.
401. Rosl¨of, J., Harjunkoski, I., Bj¨orkqvist, J., Karlsson, S., Westerlund, T., 2000. A MILPbased
reordering algorithm for complex industrial scheduling and rescheduling. In: European Symposium on
Computer Process Engineering - 10. Elsevier Science B.V.
402. Timpe, C. H., Kallrath, J., 2000. Optimal planning in large multi-site production networks. European
Journal of Operational Research 126(2), 422{435.
403. Vieira , Guilherme E., Jeffrey W. Herrmann, and Edward Lin, “Analytical models to predict the
performance of a single-machine system under periodic and event-driven rescheduling strategies,”
International Journal of Production Research, Volume 38, Number 8, pages 1899-1915, 2000.
404. Vieira , Guilherme E., Jeffrey W. Herrmann, and Edward Lin, “Predicting the performance of
rescheduling strategies for parallel machine systems,” Journal of Manufacturing Systems, Volume 19,
Number 4, pages 256-266, 2000.
405. Portougal, Victor, and Robb, David J., “Production scheduling theory: just where is it applicable?”
INTERFACES, Volume 30, Number 6, pages 64-76, 2000.
406. Van den Heever, S.A., and I.E. Grossmann, "An Iterative Aggregation/Disaggregation Approach for
the Solution of a Mixed Integer Nonlinear Oilfield Infrastructure Planning Model," I&EC Res.39,
1955-1971 (2000).
407. Van den Heever, S.A., I.E. Grossmann, S. Vasantharajan and K. Edwards,"Integrating Complex
Economic Objectives with the Design an Planning of Offshore Oilfield Facilities," Computers and
Chemical Engineering 24, 1049- 1056 (2000).
408. Harjunkoski, I., V. Jain and I.E. Grossmann, "Hybrid Mixed-integer/Constrained Logic Programming
Strategies for Solving Scheduling and Combinatorial Optimization Problems," Computers and
Chemical Engineering 24, 337-343 (2000).
409. Jain, V. and I.E. Grossmann, "A Disjunctive Model for Scheduling in a Manufacturing and Packing
Facility with Inermediate Storage," Optimization and Engineering, 1, pp.215-231 (2000)
410. Perea, E., I.E. Grossmann and E. Ydstie, "Towards the Integration of Dynamics and Control for Supply
Chain Management, "Computers and Chemical Engineering 24, 1143-1150 (2000).
411. Grossmann, I.E. and A.W. Westerberg, "Research Challenges in Process Systems Engineering,"
AIChE J. 46, pp.1700-1703 (2000).
412. Cerda, J. and I.E. Grossmann (Eds.), "Special Issue on Pan-American Collaboration for Computers and
Chemical Engineering," Computers and Chemical Engineering 24 (9-10) 2000.
413. Ger Koole. Stochastic scheduling with event-based dynamic programming. Math. Methods Oper. Res.,
51(2):249–261, 2000.
414. Werner R¨omisch Robert N¨urnberg. A two-stage planning model for power scheduling in a
hydrothermal system under uncertainty. Stochastic Programming E-Print Series, http://dochost. rz.huberlin.de/speps/, 2000.
415. J. Dupacova,M. Bertocchi, and V. Moriggia. Sensitivity of a bond portfolio’s behavior with respect to
random movements in yield curve: A simulation study. Ann. Oper. Res., 99:267–286, 2000.
416. J. Dupacova, M. Bertocchi J. Abaffy, and V. Moriggia. Generating scenarios for bond portfolios.
Bulletin of the Czech Econometric Society, 11:3–27, 2000.
417. P. Tsamasphyrou, A. Renaud, and P. Carpentier. Transmission network planning under uncertainty
with benders decomposition. Lecture Notes in Economics and Mathematical Systems, 481:457–472,
2000.
418. Jiuping Xu and Jun Li. A class of stochastic optimization problems with one quadratic & several linear
objective functions and extended portfolio selection model. J. Comput. Appl. Math., 146(1):99–113,
2002. Sino-Japan Optimization Meeting (Hong Kong, 2000).
419. Comparison of Scheduling Algorithms for a Multi-Product Batch-Chemical Plant with a Generalized
Serial Network Niem-Trung L. Tra, 2000
420. Onlain Scheduling of multiproduct batch plants under uncertainty Germany, 2000
Publication 2001
421. Portougal, V. and Trietsch, D. (2001). Stochastic scheduling with optimal customer service. Journal of
the Operational Research Society, 52, 226{233.
422. Zhu, X.X. and Majozi, T. (2001). Novel continuous time MILP formulation for multipurpose batch
plants. 2. Integrated planning and scheduling. Industrial and En- gineering Chemistry Research, 40,
5621{5634.
423. Engell, S., Markert, A., Sand, G., Schultz, R., Schulz, C., 2001. Online scheduling of multiproduct
batch plants under uncertainty. In: Grotschel, M.,
424. Vin, J., Ierapetritou, M., 2001. Robust short-term scheduling of multiproduct batch plants under
demand uncertainty. Industrial and Engineering Chemistry Research 40, 4543{4554.
425. Badell, M., & Puigjaner, L. A. (2001). Advanced enterprise resource management systems for the
batch industry. The TicTacToe algorithm.Computers and Chemical Engineering, 25, 517–538.
426. Linninger, A. A., & Chakraborty, A. (2001). Pharmaceutical waste management under uncertainty.
Computers and Chemical Engineering, 25,675–681.
427. Maravelias, C. T., & Grossmann, I. E. (2001). Simultaneous planning for new product development
and batch manufacturing facilities. I&ECResearch, 40, 6147–6164.
428. Maravelias, C. and I.E. Grossmann, “Simultaneous Planning for New Product Development and
Design of Manufacturing Facilities,” Proceedings ENPROMER Vol. 1, pp. 211-216 (2001). 16
429.
ni, A. (2001). Challenges and opportunities in process control: Biomedical
processes. AIChE Journal, 47, 2140.
430. Perea, E., Grossmann, I. E., Ydstie, E., & Tahmassebi, T. (2001). Dynamic modeling and decentralized
control of supply chains. I&EC Research, 40, 3369–3383.
431. Engell, S., Märkert, A., Sand, G., Schultz, R., Schulz, C. (2001).Online scheduling of multiproduct
batch plants underuncertainty. Online Optimization of Large Scale Systems,Springer, 649.
432. Schulz, C. (2001) Modeling and optimization of a multi-product batch plant. PhD thesis, Dortmund
University, Germany
433. Kim, J.H.; Han, C. Short-term multiperiod Optimal planning of Utility systems Using Heuristics and
Dynamic Programming, Ind. Eng. Chem. Res. (2001) 40, 1928.
434. S. Engell, A. M¨arkert, G. Sand, R. Schultz, and C. Schulz, “Online scheduling of multiproduct batch
plants underuncertainty,” in Online Optimization of Large Scale Systems,M. Gr¨otschel, S. O. Krumke,
and J. Rambau (eds.),Springer: Berlin, 2001, pp. 649–676.
435. T. Majozi and X. Zhu. A novel continuous-time MILP formulation for multiporpose batch plants.
1.short-term scheduling. Ind. Eng. Chem. Res., 40(25):5935{5949, 2001.
436. Linninger, A. A. and Chakraborty, A. "Pharmaceutical Waste Management under Uncertainty", Comp.
Chem. Eng., 25, 675-681 (2001).
437. Perea, E., I.E. Grossmann, E. Ydstie and T. Tahmassebi, "Dynamic Modeling and Decentralized
Control of Supply Chains," I&EC Res. 40, 3369-3383 (2001).
438. Datta, B., V.K. Jayaraman, B.D. Kulkarni, 2001. A comparative study of annealing methods for batch
scheduling problems. Chemical Engineering Research & Design 79(A6), Sep., 673-683.
439. Kelleher, G., P. Cavichiollo, 2001. Supporting rescheduling using CSP, RMS andPOB – an example
application. Journal of Intelligent Manufacturing 12, 343-357.
440. Lee, K.H., S. Chung, H. K. Lee, I. B. Lee, 2001. Continuous time formulation of short-term scheduling
for pipeless batch plants. Journal of Chemical Engineering ofJapan 34 (10), 1267-1278.
441. High Level Optimization Model for the Retrofit Planning of Process Networks Jennifer R. Jackson
and Ignacio E. Grossmann* Department of Chemical Engineering Carnegie Mellon University
Pittsburgh, PA 15213 August 2001
442. Bj¨orkqvist, J., Karlsson, S., Rosl¨of, J., R¨onnback, R., Westerlund, T., Mar. 2001a. Ageneral batch
scheduling optimization system using iterative mathematical methods, submitted.
443. Bj¨orkqvist, J., Rosl¨of, J., R¨onnback, R.,Westerlund, T., 2001b. Evaluation of an
iterativemathematical optimization approach for industrial size batch scheduling. In: ICheaP5Proceedings Vol. 1.
444. Rosl¨of, J., Harjunkoski, I., Bj¨orkqvist, J., Karlsson, S., Westerlund, T., 2001a. An MILPbased
reordering algorithm for complex industrial scheduling and rescheduling. Cce 25 (4-6), 821{828.
445. Rosl¨of, J., Harjunkoski, I., Westerlund, T., Isaksson, J., 2001b. Solving a large-scale industrial
scheduling problem using milp combined with a heuristic procedure, accepted to European Journal of
Operational Research.
446. Markowitz, David M., and Lawrence M. Wein, “Heavy traffic analysis of dynamic cyclic policies: a
unified treatment of the single machine scheduling problem,” Operations Research, Volume 49,
Number 2, pages 246-270, 2001.
447. SHORT-TERM SCHEDULING OF MULTIPRODUCT BATCH PLANTS UNDER LIMITED
RESOURCE CAPACITY,C. A. MÉNDEZ, G. P. HENNING and J. CERDÁ INTEC (UNL CONICET) Guemes 3450 - 3000 Santa Fe – ARGENTINA E-mail: jcerda@intec.unl.edu.ar Latin
American Applied Research 31:455-462 (2001)
448. Kyu-Hwang Lee; Heung Il Park; In Beum Lee. A Novel Non uniform Discrete Time Formulation for
Short-Term Scheduling of Batch and Continuous Processes. Ind. Eng. Chem. Res., 2001, 40, 49024911.
449. Castro, P.; Barbosa-Povoa, A. P. F. D.; Matos, H. An Improved RTN Continuous-Time Formulation
for the Short term Scheduling of Multipurpose Batch Plants. Ind. Eng. Chem. Res. 2001, 40, 20592068.
450. Lee, K.; Il Park, H.; In Beum Lee. A Novel Nonuniform Discrete Time Formulation for Short-Term
Scheduling of Batch and Continuous Processes. Ind. Eng. Chem. Res. 2001, 40, 4902-4911.
451. 191. Perea, E., I.E. Grossmann, E. Ydstie and T. Tahmassebi, "Dynamic Modeling and Decentralized
Control of Supply Chains," I&EC Res. 40, 3369-3383 (2001).
452. 192. Van den Heever, S.A., I.E. Grossmann, S. Vasantharajan and K. Edwards, "A Lagrange an
Decomposition Heuristic for the Design and Planning of Offshore Hydrocarbon Field Infrastructures
with Complex Economic Objectives," I&EC Res. 40, 2857-2875(2001).
453. 200. Harjunkoski, I.and I.E. Grossmann, "A Decomposition Approach for the Scheduling of a Steel
Plant Production," Computers and Chemical Engineering 25, 1647-1660 (2001).
454. 203. Harjunkoski, I. and I.E. Grossmann, “Hybrid CP/MILP Method for Scheduling of Multistage
Batch Plants,” Proceedings ESCAPE-11 (eds. R. Gani and S.B. Jorgensen), pp.877-882 (2001).
455. Balasubramanian, J. and I.E. Grossmann, "Scheduling to Minimize the Expected Completion Time in
Flowshops with Uncertain Processing Times," Proceedings ENPROMER Vol. 1, pp. 205-210 (2001).
456. Sebastian Engell, Andreas M¨arkert, Guido Sand, R¨udiger Schultz, and Christian Schulz. Online
scheduling of multiproduct batch plants under uncertainty. In Online optimization of large scale
systems, pages 649–676. Springer, Berlin, 2001.
457. Sebastian Engell, Andreas M¨arkert, Guido Sand, R¨udiger Schultz, and Christian Schulz. Online
scheduling of multiproduct batch plants under uncertainty. In Online optimization of large scale
systems, pages 649–676. Springer, Berlin, 2001.
458. ADVANCES IN LOGIC-BASED OPTIMIZATION APPROACHES TO PROCESS
INTEGRATION AND SUPPLY CHAIN MANAGEMENT Ignacio E. Grossmann , CHAPTER 11,
2001
459. A METHOD TO OPTIMIZE SCHEDULING IN SMALL BATCH MANUFACTURING Adrián
Guillermo Lucero1, Abelardo Alves de Queiroz2 1 Dep. of Mechanical Eng., UFSC, CEP 88040-900.
CP Nº476, Florianópolis, SC, Brazil aglucero@grucon.ufsc.br 2 Dep. of Mechanical Eng, UFSC, CEP
88040-900. CP Nº476, Florianópolis, SC, Brazil. abelardo@emc.ufsc.br , 2001
460. Chapter 1.Introduction, objective and motivations , 2001
461. CHAPTER 8: RESULTS AND CONCLUSIONS ,MUSIER AND EVANS SCHEDULING
ALGORITHM RESULTS FOR, SET 2: CUSTOMER ORDERS ,2001
462. Applied Stochastic Integer Programming:Scheduling in the Processing Industries S. Engell1, A.
M¨arkert2, G. Sand1, and R. Schultz2, 2001
463. Discrete Optimization Methods and their Role in the Integration of Planning and Scheduling Ignacio E.
Grossmann1, Susara A. van den Heever and Iiro Harjunkoski, 2001
464. Research Challenges in Process Systems EngineeringIgnacio E. Grossmann and Arthur W.
Westerberg, 2001
465. Discrete and disjunctive optimization:Parallel strategies and applications in industrial scheduling
Jerker Bj orkqvist ,2001
466. SUPERVISING CONTROL SUPPORT SYSTEM OF A MULTIPURPOSE BATCHPLANT
STRUCTURED BY PROCESS AND BY ACTIVITYA. LOZANO, O. CHIOTTI 1, 2001
467. Pharmaceutical Plant Expansion and Optimization Using BATCHES Jim Wann Hoechst
Celanese Corpus Christi, Texas, 2001
Publication 2002
468. Bernal-Haro, L., Azzaro-Pantel, C., Pibouleau, L. and Domenech, S. (2002). Multiob-jective batch
plant design: a two-stage methodology. 2. Developement of a geneticalgorithm and result analysis.
Industrial and Engineering Chemistry Research, 41,5743{5758.
469. Gordon, V.S., Proth, J.M. and Chu, C. (2002). Due date assignment and scheduling: SLK, TWK and
other due date assignment models. Production Planning and Control, 12(2), 117{132.
470. Grunow, M., GÄunther, H.O. and Lehmann, M. (2002). Campaign planning for multi-stage batch
processes in the chemical industry. OR Spectrum, 24(3), 281{314.
471. Ivanescu, C.V., Fransoo, J.C. and Bertrand, J.W.M. (2002). Makespan estimation and order acceptance
in batch process industries when processing times are uncertain. OR Spectrum, 24(4), 467{495.
472. Lewis, H.F. and Slotnick, S.A. (2002). Multi-period job selection: planning work loads to maximize
pro¯t. Computers and Operations Research, 29(8), 1081{1098.
473. Wera, Y. (2002). Production planning and raw materials management models in the process industry.
Ph.D. thesis, Universit¶e de Liµege.
474. Grossmann, I.E., S.A. van den Heever and I. Harjunkoski, "Discrete Optimization Methods and their
Role in the Integration of Planning and Scheduling," AIChE Sympsium Series No. 326, Vol. 98,
pp.150-168 (2002)
475. Jackson, J.R. and I.E. Grossmann, “High Level Optimization Model for the Retrofit Planning of
Process Networks,” I&EC Research 41,3762-3770 (2002).
476. Balasubramanian, J., Grossmann, I., 2002. A novel branch and bound algorithm for scheduling ow
shop plants with uncertain processing times. Com-54puters and Chemical Engineering 26, 41{57.
477. Schulz, C., 2002. Modelling and optmization of a multiproduct processing plant. Dr.-Ing.-Dissertation,
Universit•at Dortmund, Department of Chemical Engineering, Dortmund, Germany, in German.
478. Balasubramanian, J., & Grossmann, I. E. (2002). Scheduling to minimize expected completion time in
flowshop plants with uncertain processing times. Computers and Chemical Engineering, 26, 41–57.
479. Biehl, M., Prater, E., & Realff, M. (2002). Modeling and simulation of areverse supply chain in an
uncertain environment. In Proceedings ofthe INFORMS, San Jose.
480. Grossmann, I. E., van den Heever, S. A., & Harjunkoski, I. (2002). Discrete optimization methods and
their role in the integration of planning and scheduling. In Proceedings of the AIChE Symposium Series
No.326, Vol. 98 (pp. 150–168).
481. Julka, N., Karimi, I., & Srinivasan, R. (2002). Agent-based re.nery supply chain management.
ESCAPE-12, The Hague.
482. Nishi, T., Konishi, M., Hasebe, S., & Hashimoto, I. (2002). Autonomous decentralized supply chain
optimization system for multi-stage production processes. In Proceedings of the 2002 Japan–USA
Symposium on Flexible Automation (pp. 131–138).
483. X. Lin, C. Floudas, and S. Modi. Continuous-time optimization approach for medium-range production
scheduling of a multiproduct batch plant. Ind. Eng. Chem. Res., 41:3884{3906, 2002.
484. Biehl, M., E. Prater, and M. Realff, "Modeling and Simulation of a Reverse Supply Chain in an
Uncertain Environment," INFORMS, San Jose, 2002.
485. Julka, N., I. Karimi and R. Srinivasan, “Agent-Based Refinery Supply Chain Management,” ESCAPE12, The Hague (2002)
486. Nishi, T., Masami Konishi, Shinji Hasebe, and Iori Hashimoto, "Autonomous Decentralized Supply
Chain Optimization System for Multi-stage Production Processes", Proceedings of 2002 Japan-USA
Symposium on Flexible Automation, pp. 131-138 (2002).
487. Giannelos, N.F.; Georgiadis, M.C. A Simple New Continuous-Time Formulation for Short-Term
Scheduling of Multipurpose Batch Processes. Ind. Eng. Chem. Res. 2002, 41, 2178-2184.
488. Balasubramanian and I.E. Grossmann, "A Novel Branch and Bound Algorithm for Scheduling
Flowshop Plants with Uncertain Processing Times," Computers and Chemical Engineering 26, 41-57
(2002).
489. Jackson, J.R. and I.E. Grossmann, “High Level Optimization Model for the Retrofit Planning of
Process Networks,” I&EC Research 41,3762-3770 (2002).
490. Harjunkoski, I. and I.E. Grossmann, “Decomposition Techniques for Multistage Scheduling Problems
using Mixed-integer and Constraint Programming Methods,” Computers and Chemical Engineering
26, 1533-1552 (2002).
491. Van den Heever, S.A. and I.E. Grossmann, "A Mixed-integer Nonlinear Programming Approach to the
Optimal Planning of Offshore Oilfield Infrastructures," submitted for publication (2002).
492.
-based and Decomposition Algorithm for the
Scheduling of Testing Tasks in New Product Development of Pharmaceuticals and Agrochemicals.
Applied Mathematical Programming and Modeling Conference, 2002, Varenna, Italy.
493.
-Term
Scheduling of Multipurpose Plants. 2002 AIChE Annual Meeting, Indianapolis, IN. - Also presented in
2002 INFORMS Annual Meeting, San Jose, CA.
494. Astrid Franz and Karl Heinz Hoffmann. Optimal annealing schedules for a modified Tsallis statistics.
J. Comput. Phys., 176(1):196–204, 2002.
495. Scheduling of Batch Plants: Constraint-Based Approach and Performance Investigation Wei
Huang a and Bo Chen b., 2002
496. Rescheduling manufacturing systems: a framework of strategies, policies, and methods,
Guilherme E. Vieira Department of Control and Industrial Automation Engineering, Catholic
University of Parana, Curitiba, Parana, Brazil , Jeffrey W. Herrmann Department of Mechanical
Engineering and Institute for Systems Research, University of Maryland, College Park, MD 20742,
USA , Edward Lin Institute for Systems Research, University of Maryland, College Park, MD 20742,
USA , 2002
497. SCHEDULING OF MULTIPURPOSE BATCH PROCESSES WITH MULTIPLE BATCHES
OF THE PRODUCTS T. HOLCZINGER, J. ROMERO1, L. PUIGJANER1 and F. FRIEDLER, 2002
Publication 2003
498. Ivanescu, C.V., Fransoo, J.C. and Bertrand, J.W.M. (2003a). Planning and scheduling in the process
industry. In GÄunther, H.O. and van Beek, P. (eds), Advanced planning and scheduling solutions in
process industries. Springer, Berlin.
499. Ivanescu, V.C., Fransoo, J.C. and Bertrand, J.W.M. (2003b). On the selectivity of order acceptance
procedures in batch process industries. BETA WP 99.
500. Kallrath, J. (2003). Planning and scheduling in the process industry. In GÄunther, H.O. and van Beek,
P. (eds), Advanced planning and scheduling solutions in process industries. Springer, Berlin.
501. Maravelias, C.T. and Grossmann, I. (2003). New general continuous-time state-task network
formulation for short-term scheduling of multipurpose batch plants. In- dustrial and Engineering
Chemistry Research, 42, 3056{3074.
502. Maravelias, C.T. and I.E. Grossmann, "A New General Continuous-Time State Task Network
Formulation for Short Term, Scheduling of Multipurpose Batch Plants,” I&EC Research, 42, 30563074(2003).
503. Sahinidis, N.V., "Optimization under Uncertainty: State-of-the-Art and Opportunities,"Proceedings of
FOCAPO2003 (Eds. I.E. Grossmann and C.M. McDonald), Coral Springs(2003).
504. Engell, S., M•arkert, A., Sand, G., Schultz, R., 2003. Aggregated scheduling of a multiproduct batch
plant by two-stage stochastic integer programming.Optimization and Engineering Submitted.
505. Maravelias, C. T., & Grossmann, I. E. (2003). A new general continuous time state task network
formulation for short term, scheduling of multipurpose batch plants. I&EC Research, 42, 3056–3074.
506. Masini, G., Petracci, N., & Bandoni, A. (2003). Supply chain optimizationin the fruit industry. In I. E.
Grossmann & C. M. McDonald (Eds.),Proceedings of the FOCAPO 2003 (pp. 237–240). CACHE.
507. Mendez, C., & Cerda, J. (2003). An MILP framework for reactive scheduling of resource-constrained
multistage batch facilities. In I. E.
508. Romero, J., Badell, M., Bagajewicz, M., & Puigjaner, L. (2003). Integrating budgeting models into
scheduling and planning models for the chemical batch industry. Industrial Engineering and Chemistry
Research, 42(24), 6125–6134.
509. A TWO-STAGE STOCHASTIC INTEGER PROGRAMMING APPROACH TO REAL-TIME
SCHEDULING Guido Sand and Sebastian Engell Process Control Laboratory, Dortmund University
44221 Dortmund, Germany, FOCAPO,2003
510. Aggregated Scheduling of a Multiproduct Batch Plant by Two-Stage Stochastic Integer Programming
SEBASTIAN ENGELL, Department of Biochemical and Chemical Engineering, University of
Dortmund, Emil-Figge-Str. 70,D-44221 Dortmund, Germany email: s.engell@ct.uni-dortmund.de
ANDREAS M¨ ARKERT Institute of Mathematics, University Duisburg-Essen, Campus Duisburg,
Lotharstr. 65, D-47057 Duisburg, Germany email: maerkert@math.uni-duisburg.de GUIDO SAND
Department of Biochemical and Chemical Engineering, University of Dortmund, Emil-Figge-Str. 70,
D-44221 Dortmund, Germany email: g.sand@ct.uni-dortmund.de R ¨ UDIGER SCHULTZ. Institute
of Mathematics, University Duisburg-Essen, Campus Duisburg, Lotharstr. 65, D-47057 Duisburg,
Germany email: schultz@math.uni-duisburg.de Received April 19, 2002; Revised October 2, 2003
511. J. Kallrath. Planning and scheduling in the process industry. In H. O. Gunther and P. van Beek,editors,
Advanced Planning and Scheduling Solutions in Process Industry, pages 201{227. Springer-Verlag,
2003.25
512. C. Maravelias and I. Grossman. New general continuous-time state-task network formulation for shortterm scheduling of multipurpose batch plants. Ind. Eng. Chem. Res., 42:3056{3074, 2003a.
513. C. Maravelias and I. Grossman. Minimization of the makespan with a discrete-time state-task
networkformulation. Ind. Eng. Chem. Res., 42:6252{6257, 2003b.
514. J. Miller, G. L. Nemhauser, and M. W. P. Savelsbergh. A multi-item production planning model with
setup times: Algorithms, reformulations, and polyhedral characterizations for a special case.Math.
Prog., 95(1):71{90, 2003.
515. K. Neumann, C. Schwindt, and N. Trautmann. Advanced production scheduling for batch plants
inprocess industry. In H. O. Gunther and P. van Beek, editors, Advanced Planning and Scheduling
Solutions in Process Industry, pages 43{71. Springer-Verlag, 2003.
516. H. Stadtler. Multilevel lot-sizing with setup times and multiple constrained resources: Internally rolling
schedules with lot-sizing windows. Oper. Res., 51(3):487{502, 2003.
517. Lasschuit, W. and N. Thijssen, "Supporting Supply Chain Planning And Scheduling Decisions in the
Oil and Chemical Industry," Proceedings FOCAPO 2003 (Eds. I.E. Grossmann and C.M. McDonald),
pp.37-44, CACHE (2003).
518. Maravelias, C.T. and I.E. Grossmann, "A New General Continuous-Time State Task Network
Formulation for Short Term, Scheduling of Multipurpose Batch Plants,” I&EC Research, 42, 30563074(2003a).
519. Maravelias, C.T. and I. E. Grossmann, "A Hybrid MILP/CP Decomposition Approach for the
Continuous Time Scheduling of Multipurpose Batch Plants," submitted for publication (2003b).
520. Masini, G., N. Petracci and A. Bandoni, "Supply Chain Optimization in the Fruit Industry,"
Proceedings FOCAPO 2003 (Eds. I.E. Grossmann and C.M. McDonald), pp.237-240, CACHE (2003).
521. Mendez, C. and J. Cerda, “An MILP Framework for Reactive Scheduling of Resource-Constrained
Multistage Batch Facilities,” Proceedings FOCAPO 2003 (Eds. I.E. Grossmann and C.M. McDonald),
pp.335-338, CACHE (2003).
522. Neiro, S.M.S. and J.M. Pinto, "Supply Chain Optimization of Petroleum Refinery Complexes,"
Proceedings FOCAPO 2003 (Eds. I.E. Grossmann and C.M. McDonald), pp.59-72, CACHE (2003).
523. Romero, J., M. Badell, M. Bagajewicz, and L. Puigjaner, “Integrating Budgeting Models into
Scheduling and Planning Models for the Chemical Batch Industry,” Ind. Eng. Chem. Res., 42 (24),
6125 -6134 (2003).
524. Sahinidis, N.V., "Optimization under Uncertainty: State of the Art and Opportunities," Proceedings
FOCAPO 2003 (Eds. I.E. Grossmann and C.M. McDonald), pp.153-165, CACHE (2003).
525. Shah, N., "Pharmaceutical Supply Chains: Key Issues and Strategies for Optimization," Proceedings
FOCAPO 2003 (Eds. I.E. Grossmann and C.M. McDonald), pp.73-85, CACHE (2003).
526. Shapiro, J., "Challenges of Strategic Supply Chain Planning and Modeling," Proceedings FOCAPO
2003 (Eds. I.E. Grossmann and C.M. McDonald), pp.27-34, CACHE (2003).
527. Venkatsubramanian, V., "Abnormal Events Management in Complex Process Plants: Challenges and
Opportunities in Intelligent Supervisory Control," Proceedings FOCAPO 2003 (Eds. I.E. Grossmann
and C.M. McDonald), pp.117-132, CACHE (2003).
528. An Integrated System Solution for Supply Chain Optimization in the Chemical Process Industry
Dr. Juergen S. Kussi , Dr. Franz-Josef Toelle Bayer AG (http://www.bayer.com/), ZT-TE Process
Systems Engineering, 51368 Leverkusen, Germany FOCAPO 2003 Meeting, January 12 –15, 2003, in
Coral Springs, Florida
529. Maravelias, C.T.; Grossmann, I.E. A New General Continuous-Time State Task Network Formulation
forthe Short-Term Scheduling of Multipurpose Batch Plants. Ind. Eng. Chem. Res., 2003, 42 (13),
3056-3074.
530. Maravelias, C.T.; Grossmann, I.E. A Hybrid MILP/CP Decomposition Approach for the Short
TermScheduling of Multipurpose Batch Plants. Submitted for publication (2003).
531. Perea, E., E. Ydstie and I.E. Grossmann, "A Model Predictive Control Strategy for Supply Chain
Optimization," Computers and Chemical Eng., 27, 1201-1218 (2003).
532. Balasubramanian,J. and I.E. Grossmann, “Scheduling Optimization under Uncertainty – An
Alternative Approach,” Computers and Chemical Engineering 27, 469-490 (2003).
533. Maravelias, C.T. and I.E. Grossmann, "A New MILP Variable Resource Constrained Scheduling
Model for the Testing of New Pharmaceuticals and Agrochemicals," Proceedings FOCAPO2003 (Eds.
I.E. Grossmann and C.M. McDonald), pp.253-256 (2003). 17
534. Maravelias, C.T. and I.E. Grossmann, "A New General Continuous-Time State Task Network
Formulation for Short Term, Scheduling of Multipurpose Batch Plants,” I&EC Research, 42, 30563074(2003).
535. Maravelias, T.C.; Grossmann, I. E. New Continuous-Time State Task Network Formulation for the
Scheduling of Multipurpose Batch Plants. Ind. Eng. Chem. Res., 2003, 42 (13), 3056 – 3074.
536.
-Constrained Scheduling Model
for the Testing of Pharmaceuticals and Agrochemicals. In Proceedings of the 4th International
Conference on Foundations of Computer- Aided Operations, Coral Springs, FL. 2003, 253-256.
537.
of Batch Plants. In Proceedings of the 5th International Workshop on Integration of AI and OR
Techniques in Constraint Programming for Combinatorial Optimization Problems, Montreal, Canada.
2003, 109-123. - Also accepted for presentation in INFORMS 2003 Annual Meeting, Atlanta, GA.
538.
-Time State Task Network Formulation for
Short-Term Scheduling of Batch Plants. In Proceedings of the 13th European Symposium on
Computer-Aided Process Engineering, Lappeenranta, Finland. 2003, 215-220.
539. Maravelias, T.C.; Grossmann, I.E. A General Continuous State Task Network Formulation for Short
Term Scheduling of Multipurpose Batch Plants with Due Dates. To be published in Proceedings of
PSE 2003, Kunming, China.
540.
Makespan of Batch Plants. Accepted for presentation in 2003 AIChE Annual Meeting, San Francisco,
CA.
541.
g Tasks in New Product Development
of Pharmaceuticals and Agrochemicals Using Constraint Programming. Accepted for presentation in
2003 AIChE Meeting, San Francisco, Under Uncertainty. ICHEME Symposium Series 133:427-34.
542. Van den Heever, S.A. and I.E. Grossmann, “A Strategy for the Integration of Production Planning and
Reactive Scheduling in the Optimization of a Hydrogen Supply Network,” Computers and Chemical
Engineering, 27, 1813-1839 (2003).
543. Jackson, J.R., J. Hofmann, J. Wassick and I.E. Grossmann, "A Nonlinear Multiperiod Process
Optimization Model for Production Planning in Multi-Plant Facilities," Proceedings FOCAPO2003
(Eds. I.E. Grossmann and C.M. McDonald), pp.281-284 (2003).
544. Houze, M., N. Juhasz and I.E. Grossmann, "Optimization Model for the Production and Scheduling of
Catalyst Loads Changeouts in a Process with Decaying Performance," Proceedings FOCAPO2003
(Eds. I.E. Grossmann and C.M. McDonald), pp.311-314 (2003).
545. Jackson, J. and Ignacio E. Grossmann, "A Temporal Decomposition Scheme for Nonlinear Multisite
Production Planning and Distribution Models," I&EC Research, 42, 3045-3055 (2003).
546.
Stochastic Integer Programming Bibliography Maarten H. van der Vlerk Department of
Econometrics and OR University of Groningen PO Box 800, NL-9700 AV Groningen, The
Netherlands E-mail: m.h.van.der.vlerk@eco.rug.nl May 2, 2003
547. Additions to the Stochastic Programming Bibliography Maarten H. van der Vlerk Department of
Econometrics and OR University of Groningen PO Box 800, NL-9700 AV Groningen, The
Netherlands E-mail: m.h.van.der.vlerk@eco.rug.nl May 2, 2003
548. 25th Year Issue on Computers and Chemical Engineering, Retrospective on Optimization Lorenz
T. Biegler and Ignacio E. Grossmann Department of Chemical Engineering Carnegie Mellon
University Pittsburgh, PA 15213, 2003
549. Modelling and Solving Real-Time Scheduling Problems by Stochastic Integer Programming G. Sand,
S. Engell _ Process Control Laboratory, University Dortmund, 44221 Dortmund, Germany, 2003
550. EMERGENCY CONSIDERED OPTIMIZATION FOR A UTILITY PLANT WITH
QUANTITATIVE SAFETY CONSTRAINTS J.H. KIM and C. HAN Department of Chemical
Engineering, Pohang University of Science and Technology, Pohang, Kyungbuk 790-784, Korea H.S.
YI School of Environmental Science and Engineering, Pohang University of Science and Technology,
Pohang, Kyungbuk 790-784, Korea, 2003
551. A systematic approach for multi-objective process design in multi-purpose batch plants, A
dissertation submitted to the Swiss Federal Institute of Technology Zurich (ETHZ) For the degree
of Doctor of Technical Sciences, 2003
Publication 2004
552. B. Ivanov, N. Vaklieva-Bancheva and K. Mintchev, Methodology for optimal resources used control
in case of compatible batch chemical processes 10th INTERNATIONAL SUMMER SCHOOL OF
CHEMICAL ENGINEERING- V a r n a May 24 - 31, 2004 (English), (Poster full version)
553. B. Ivanov, and K. Mintchev Software of optimal control production campaigns in cases of
multipurpose batch chemical engineering systems -10th INTERNATIONAL SUMMER SCHOOL OF
CHEMICAL ENGINEERING- V a r n a May 24 - 31, 2004 (English), (Poster full version)
554. Б.Иванов, М.Минчев Софтуер за определяне на производствени разписания при работата на
мнагоцелеви и многопродуктови химико-технологични системи, осигуряващи оптимално
натоварване на системите за ресурсопотребление , доклад пред Петата национална
конференция по химия, 29.09.2004 – 1.10.2004, София (Bulgarian), (Presentation in PPT format)
555. Хр. Бояджиев, Б.Иванов, Н. Ваклиева-Банчева, Софтуер за синтез, реновация и оптимално
управление на многоцелеви химико-технологични системи с периодични процеси със снижени
емисии на вредни вещества в околната среда, Новости БАН, Юни,2004г., Брой 6 (10),година 2
(Bulgarian), (English)
556. Ivanov B.B. and Minchev K., Optimal Loading the Systems for Resource Consumption in Case of
Multiproduct and Multipurpose Batch Chemical Plants (Teoretical Aspects and Software Realization),
Представена лекция пред факултета по информационни технологии при Веспремския
университет, Унгария, 10 ноември 2004г. 15 часа (English)
557. К.Минчев, Е.Шопова, Б.Иванов, Софтуер за определяне на производствени разписания при
работата на многоцелеви и многопродуктови химико-технологични системи осигуряващи
оптимално натоварване на системите за ресурсопотребление, устен доклад пред младежкия
симпозиум организиран в рамките на младежкото изложение “ЕКСПО-ИНТЕЛЕКТ’04”
02.12.2004г. (награден с диплома) (Грамота за участие) (Bulgarian)
558. Scheduling Tank Container Movements for Chemical LogisticsI.A. Karimi, M. Sharafali and H.
Mahalingam AIChE Fall 2004 - 10: Computing and Systems Technology Division
559. Design and Scheduling of Multi-Period and Multipurpose Batch PlantsSoon-Ki Heo and In-Beum Lee
AIChE Fall 2004 - 10: Computing and Systems Technology Division
560. A Comparison of Continuous-time Models for Scheduling Noncontinuous Plants Suresh P.
Sivanandam, Ganesh Balla, Arul Sundaramoorthy and I.A. Karimi AIChE Fall 2004 - 10:
Computing and Systems Technology Division
561. A Continuous-Time Formulation for Scheduling Multi-Stage Multi-product Batch Plants with
IdenticalParallel Units Liu Yu and I. A. Karimi AIChE Fall 2004 - 10: Computing and Systems
Technology Division
562. Order acceptance under uncertainty in batch process industries, Virginia Cristina Iv¸anescu
prof.dr.ir. J.W.M. Bertrand en prof.dr. J.P.C. Kleijnen, 4 oktober 2004
563. Ivanescu, V.C., Fransoo, J.C. and Bertrand, J.W.M. (2004b). A hybrid policy to correct for the
selectivity of order acceptance procedures in batch process industries. under review.
564. Maravelias, C.T. and I. E. Grossmann, "A Hybrid MILP/CP Decomposition Approach for
theContinuous Time Scheduling of Multipurpose Batch Plants," to appear in Computers and
ChemicalEngineering (2004).
565. Challenges in the new millennium: product discovery and design, enterprise and supply chain
optimization, global life cycle assessment, Ignacio E. Grossmann., Department of Chemical
Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA, Received 21 May 2004;
accepted 20 July 2004 Available online 25 August 2004
566. Lasschuit, W., & Thijssen, N. (2004). Supporting supply chain planning and scheduling decisions in
the oil and chemical industry. Computersand Chemical Engineering, 28, 863–870.
567. Maravelias, C. T., & Grossmann, I. E. (2004). A hybrid MILP/CP decomposition approach for the
continuous time scheduling of multipurpose batch plants. Computers and Chemical Engineering, 28,
1921–1949.
568. Neiro, S. M. S., & Pinto, J. M. (2004). A general modeling framework for the operational planning of
petroleum supply chains. Computers and Chemical Engineering, 28, 871–896.
569. Sahinidis, N. V. (2004). Optimization under uncertainty: state-of-the art and opportunities. Computers
and Chemical Engineering, 28, 971–983.
570. Shah, N. (2004). Pharmaceutical supply chains: key issues and strategies for optimisation. Computers
and Chemical Engineering, 28, 929–941.
571. Shapiro, J. (2004). Challenges of strategic supply chain planning and modeling. Computers and
Chemical Engineering, 28, 855–861.
572. T¨urkay, M., Oruc¸, C., Fujita, K., & Asakura, T. (2004). Multi-company collaborative supply chain
management with economical and environmental considerations. Computers and Chemical
Engineering, 28, 985–992.
573. Multi-Task/Multi-Stage Production Planning and Scheduling for Process Industries Francesco
Gaglioppa¤ Lisa A. Millery Saif Benjaafarz August 18, 2004
574. Barbaro A. F. and M. Bagajewicz, “Managing Financial Risk in Planning under Uncertainty, “ to
appear in AIChE Journal (2004).
575. Maravelias, C.T.; Grossmann, I.E. A Hybrid MILP/CP Decomposition Approach for the Short Term
Scheduling of Multipurpose Batch Plants. Comput. Chem. Eng. 2004, 28, 1921-1949.
576. Maravelias, C.T. and I. E. Grossmann, "A Hybrid MILP/CP Decomposition Approach for the
Continuous Time Scheduling of Multipurpose Batch Plants," Computers and Chemical Engineering,
28, 1921-1949 (2004).
577. Balasubramanian, J. and I. E. Grossmann, "Approximation to Multistage Stochastic Optimization in
Multiperiod Batch Plant Scheduling under Demand Uncertainty," I&EC Research 43, 3695-3713
(2004).
578. Grossmann, I.E., “Challenges in the New Millennium: Product Discovery and Design, Enterprise and
Supply Chain Optimization, Global Life Cycle Assessment,” to appear in Computers and Chemical
Engineering (2004).
579. Maravelias, C.T. and I. E. Grossmann, “Optimal resource investment and scheduling of tests for new
product development,” Computers and Chemical Engineering, 28 pp. 1021–1038 (2004)
580. Maravelias C.T. and I.E. Grossmann, “Using MILP and CP for the scheduling of batch chemical
processes, Lecture Notes Comp. Sci., 3011: pp. 1-20 (2004).
581. Grossmann, I.E., “Advances in Logic-Based Optimization Approaches to Process Integration And
Supply Chain Management,” to appear in Advances in Chemical Engineering (eds. M.A. Galan and E.
Del Valle) (2004).
582. Grossmann, I.E., “Advances in Logic-Based Optimization Approaches to Process Integration And
Supply Chain Management,” to appear in Advances in Chemical Engineering (eds. M.A. Galan and E.
Del Valle) (2004).
583. Challenges in the New Millennium: Product Discovery and Design, Enterprise and Supply Chain
Optimization, Global Life Cycle Assessment Ignacio E. Grossmann, 2004
584. Minimization of Makespan with Discrete-Time State-Task Network Formulation Christos T.
Maravelias, Ignacio E. Grossmann ., 2004
585. On the Relation of Continuous and Discrete Time Models for the State-Task Network
Formulation Christos T. Maravelias1 and Ignacio E. Grossmann2 ., 2004
586. Design and Retrofit of Periodic Batch Plants: A RTN Based Approach Tânia Pintoa, Ana Paula F.
§b
D. Barbósa-Póvoa and Augusto Q. Novaisa aD.M.S., INETI, Est. do Paço do Lumiar, 1649-038
Lisboa, Portugal bC.E.G.-IST, DEG, IST., Av. Rovisco Pais, 1049-101 Lisboa, Portugal, 2004